LBI method: Assessing the sensitivity of length-indicator methods for resources in the Atlantic waters
2020-12-06
1 Nephrops norvegicus FU25
1.1 Nephrops norvegicus FU25 Males
Life history parameters:
\(L_{mat}\) = 25.0 mm. \(L_{inf}^{LIT}\) = 86.0 mm. \({M/k}^{LIT}\) = 1.9.
Below, catch/landings at length per year and mean weights-at-length per year are loaded.
wal <- read.csv("25_Males_w.csv", stringsAsFactors = FALSE)
head(wal)## MeanLength X1982 X1983 X1984 X1985 X1986 X1987
## 1 19.5 5.128352 5.128352 5.128352 5.128352 5.128352 5.128352
## 2 20.5 6.006350 6.006350 6.006350 6.006350 6.006350 6.006350
## 3 21.5 6.981906 6.981906 6.981906 6.981906 6.981906 6.981906
## 4 22.5 8.060560 8.060560 8.060560 8.060560 8.060560 8.060560
## 5 23.5 9.247895 9.247895 9.247895 9.247895 9.247895 9.247895
## 6 24.5 10.549534 10.549534 10.549534 10.549534 10.549534 10.549534
## X1988 X1989 X1990 X1991 X1992 X1993 X1994
## 1 5.128352 5.128352 5.128352 5.128352 5.128352 5.128352 5.128352
## 2 6.006350 6.006350 6.006350 6.006350 6.006350 6.006350 6.006350
## 3 6.981906 6.981906 6.981906 6.981906 6.981906 6.981906 6.981906
## 4 8.060560 8.060560 8.060560 8.060560 8.060560 8.060560 8.060560
## 5 9.247895 9.247895 9.247895 9.247895 9.247895 9.247895 9.247895
## 6 10.549534 10.549534 10.549534 10.549534 10.549534 10.549534 10.549534
## X1995 X1996 X1997 X1998 X1999 X2000 X2001
## 1 5.128352 5.128352 5.128352 5.128352 5.128352 5.128352 5.128352
## 2 6.006350 6.006350 6.006350 6.006350 6.006350 6.006350 6.006350
## 3 6.981906 6.981906 6.981906 6.981906 6.981906 6.981906 6.981906
## 4 8.060560 8.060560 8.060560 8.060560 8.060560 8.060560 8.060560
## 5 9.247895 9.247895 9.247895 9.247895 9.247895 9.247895 9.247895
## 6 10.549534 10.549534 10.549534 10.549534 10.549534 10.549534 10.549534
## X2002 X2003 X2004 X2005 X2006 X2007 X2008
## 1 5.128352 5.128352 5.128352 5.128352 5.128352 5.128352 5.128352
## 2 6.006350 6.006350 6.006350 6.006350 6.006350 6.006350 6.006350
## 3 6.981906 6.981906 6.981906 6.981906 6.981906 6.981906 6.981906
## 4 8.060560 8.060560 8.060560 8.060560 8.060560 8.060560 8.060560
## 5 9.247895 9.247895 9.247895 9.247895 9.247895 9.247895 9.247895
## 6 10.549534 10.549534 10.549534 10.549534 10.549534 10.549534 10.549534
## X2009 X2010 X2011 X2012 X2013 X2014 X2015
## 1 5.128352 5.128352 5.128352 5.128352 5.128352 5.128352 5.128352
## 2 6.006350 6.006350 6.006350 6.006350 6.006350 6.006350 6.006350
## 3 6.981906 6.981906 6.981906 6.981906 6.981906 6.981906 6.981906
## 4 8.060560 8.060560 8.060560 8.060560 8.060560 8.060560 8.060560
## 5 9.247895 9.247895 9.247895 9.247895 9.247895 9.247895 9.247895
## 6 10.549534 10.549534 10.549534 10.549534 10.549534 10.549534 10.549534
## X2016 X2017 X2018 X2019
## 1 5.128352 5.128352 5.128352 5.128352
## 2 6.006350 6.006350 6.006350 6.006350
## 3 6.981906 6.981906 6.981906 6.981906
## 4 8.060560 8.060560 8.060560 8.060560
## 5 9.247895 9.247895 9.247895 9.247895
## 6 10.549534 10.549534 10.549534 10.549534freq <- read.csv("25_Males.csv", stringsAsFactors = FALSE)
head(freq)## MeanLength X1982 X1983 X1984 X1985 X1986 X1987 X1988 X1989 X1990 X1991 X1992
## 1 19.5 8148 5570 4949 NA NA NA NA NA NA NA NA
## 2 20.5 1059 4154 15621 0 34637 438 301 NA NA NA NA
## 3 21.5 3886 273 0 0 1064 49328 822 0 NA NA NA
## 4 22.5 4968 27978 0 14601 440 0 29690 715 628 1558 3748
## 5 23.5 17598 38825 9482 32234 26483 6506 3623 1624 11625 14845 5640
## 6 24.5 10263 136660 65080 50657 61017 3432 735 2552 11935 12802 75433
## X1993 X1994 X1995 X1996 X1997 X1998 X1999 X2000 X2001 X2002 X2003 X2004 X2005
## 1 NA NA NA NA NA NA NA NA NA NA NA NA NA
## 2 NA NA NA NA NA NA NA NA NA NA NA NA NA
## 3 NA NA NA NA NA NA NA NA NA NA NA NA NA
## 4 344 858 269 122 527 NA NA NA NA NA NA NA NA
## 5 0 76 1125 358 0 286 204 375 467 234 310 16.7 NA
## 6 5303 651 14123 5902 366 2177 855 756 77 936 776 238.0 294
## X2006 X2007 X2008 X2009 X2010 X2011 X2012 X2013 X2014 X2015 X2016 X2017 X2018
## 1 NA NA NA NA NA NA NA NA NA NA NA NA NA
## 2 NA NA NA NA NA NA NA NA NA NA NA NA NA
## 3 NA NA NA NA NA NA NA NA NA NA NA NA NA
## 4 NA NA NA NA NA NA NA NA NA NA NA NA NA
## 5 NA NA NA NA NA NA NA NA NA NA NA NA NA
## 6 90 19.66 NA NA NA NA NA NA NA NA NA NA NA
## X2019
## 1 NA
## 2 NA
## 3 NA
## 4 NA
## 5 NA
## 6 NAbin_plot(freq, 1, "mm")
On based on the previous plots of the length distribution BinWidth is fixed equal to 1.
Reference model:
lb_tableSH(freq, 1, "mm", linf = 86.0 , lmat = 25.0 , mk_ratio = 1.90 ,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1982 |
1.26 |
1.30 |
0.58 |
0.00 |
0.72 |
0.89 |
|
1983 |
1.10 |
1.22 |
0.56 |
0.00 |
0.67 |
0.89 |
|
1984 |
1.18 |
1.26 |
0.59 |
0.00 |
0.69 |
0.88 |
|
1985 |
1.18 |
1.26 |
0.58 |
0.00 |
0.70 |
0.89 |
|
1986 |
1.26 |
1.30 |
0.56 |
0.00 |
0.71 |
0.88 |
|
1987 |
1.30 |
1.30 |
0.59 |
0.01 |
0.74 |
0.90 |
|
1988 |
1.34 |
1.38 |
0.57 |
0.00 |
0.74 |
0.88 |
|
1989 |
1.38 |
1.46 |
0.63 |
0.01 |
0.79 |
0.93 |
|
1990 |
1.26 |
1.34 |
0.60 |
0.00 |
0.72 |
0.89 |
|
1991 |
1.14 |
1.26 |
0.55 |
0.00 |
0.67 |
0.87 |
|
1992 |
1.30 |
1.34 |
0.57 |
0.00 |
0.73 |
0.88 |
|
1993 |
1.30 |
1.38 |
0.59 |
0.00 |
0.74 |
0.90 |
|
1994 |
1.22 |
1.30 |
0.59 |
0.00 |
0.72 |
0.90 |
|
1995 |
1.22 |
1.34 |
0.58 |
0.00 |
0.72 |
0.90 |
|
1996 |
1.26 |
1.34 |
0.59 |
0.00 |
0.72 |
0.89 |
|
1997 |
1.22 |
1.34 |
0.56 |
0.00 |
0.70 |
0.88 |
|
1998 |
1.38 |
1.42 |
0.61 |
0.00 |
0.78 |
0.90 |
|
1999 |
1.22 |
1.34 |
0.63 |
0.01 |
0.73 |
0.91 |
|
2000 |
1.30 |
1.38 |
0.70 |
0.03 |
0.75 |
0.90 |
|
2001 |
1.30 |
1.34 |
0.62 |
0.01 |
0.74 |
0.89 |
|
2002 |
1.30 |
1.38 |
0.66 |
0.02 |
0.76 |
0.91 |
|
2003 |
1.42 |
1.50 |
0.71 |
0.03 |
0.83 |
0.95 |
|
2004 |
1.30 |
1.42 |
0.70 |
0.03 |
0.80 |
0.96 |
|
2005 |
1.30 |
1.38 |
0.70 |
0.03 |
0.77 |
0.93 |
|
2006 |
1.34 |
1.42 |
0.69 |
0.02 |
0.79 |
0.93 |
|
2007 |
1.34 |
1.46 |
0.68 |
0.02 |
0.79 |
0.94 |
|
2008 |
1.46 |
1.54 |
0.73 |
0.05 |
0.86 |
0.97 |
|
2009 |
1.54 |
1.62 |
0.73 |
0.10 |
0.92 |
1.00 |
|
2010 |
1.38 |
1.50 |
0.69 |
0.03 |
0.84 |
0.98 |
|
2011 |
1.54 |
1.62 |
0.67 |
0.02 |
0.84 |
0.91 |
|
2012 |
1.62 |
1.62 |
0.68 |
0.02 |
0.90 |
0.94 |
|
2013 |
1.58 |
1.50 |
0.68 |
0.03 |
0.86 |
0.93 |
|
2014 |
1.42 |
1.46 |
0.65 |
0.01 |
0.79 |
0.91 |
|
2015 |
1.38 |
1.42 |
0.62 |
0.00 |
0.78 |
0.91 |
|
2016 |
1.42 |
1.46 |
0.61 |
0.00 |
0.77 |
0.88 |
|
2017 |
1.10 |
1.42 |
0.68 |
0.03 |
0.77 |
1.02 |
|
2018 |
1.50 |
1.54 |
0.66 |
0.01 |
0.83 |
0.92 |
|
2019 |
1.42 |
1.50 |
0.60 |
0.00 |
0.78 |
0.90 |
Underestimated \({M/k}^{LIT}\).
lb_tableSH(freq, 1, "mm", linf=86.0, lmat=25.0, mk_ratio=0.75*1.9,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1982 |
1.26 |
1.30 |
0.58 |
0.00 |
0.65 |
0.83 |
|
1983 |
1.10 |
1.22 |
0.56 |
0.00 |
0.61 |
0.83 |
|
1984 |
1.18 |
1.26 |
0.59 |
0.00 |
0.62 |
0.82 |
|
1985 |
1.18 |
1.26 |
0.58 |
0.00 |
0.63 |
0.83 |
|
1986 |
1.26 |
1.30 |
0.56 |
0.00 |
0.64 |
0.82 |
|
1987 |
1.30 |
1.30 |
0.59 |
0.00 |
0.67 |
0.85 |
|
1988 |
1.34 |
1.38 |
0.57 |
0.00 |
0.67 |
0.83 |
|
1989 |
1.38 |
1.46 |
0.63 |
0.00 |
0.72 |
0.87 |
|
1990 |
1.26 |
1.34 |
0.60 |
0.00 |
0.65 |
0.83 |
|
1991 |
1.14 |
1.26 |
0.55 |
0.00 |
0.60 |
0.81 |
|
1992 |
1.30 |
1.34 |
0.57 |
0.00 |
0.66 |
0.83 |
|
1993 |
1.30 |
1.38 |
0.59 |
0.00 |
0.67 |
0.84 |
|
1994 |
1.22 |
1.30 |
0.59 |
0.00 |
0.65 |
0.84 |
|
1995 |
1.22 |
1.34 |
0.58 |
0.00 |
0.65 |
0.84 |
|
1996 |
1.26 |
1.34 |
0.59 |
0.00 |
0.65 |
0.83 |
|
1997 |
1.22 |
1.34 |
0.56 |
0.00 |
0.63 |
0.82 |
|
1998 |
1.38 |
1.42 |
0.61 |
0.00 |
0.70 |
0.85 |
|
1999 |
1.22 |
1.34 |
0.63 |
0.01 |
0.65 |
0.85 |
|
2000 |
1.30 |
1.38 |
0.70 |
0.01 |
0.67 |
0.85 |
|
2001 |
1.30 |
1.34 |
0.62 |
0.00 |
0.66 |
0.84 |
|
2002 |
1.30 |
1.38 |
0.66 |
0.01 |
0.68 |
0.86 |
|
2003 |
1.42 |
1.50 |
0.71 |
0.01 |
0.75 |
0.90 |
|
2004 |
1.30 |
1.42 |
0.70 |
0.01 |
0.72 |
0.90 |
|
2005 |
1.30 |
1.38 |
0.70 |
0.01 |
0.70 |
0.87 |
|
2006 |
1.34 |
1.42 |
0.69 |
0.01 |
0.71 |
0.88 |
|
2007 |
1.34 |
1.46 |
0.68 |
0.01 |
0.71 |
0.88 |
|
2008 |
1.46 |
1.54 |
0.73 |
0.02 |
0.78 |
0.92 |
|
2009 |
1.54 |
1.62 |
0.73 |
0.02 |
0.83 |
0.95 |
|
2010 |
1.38 |
1.50 |
0.69 |
0.00 |
0.76 |
0.92 |
|
2011 |
1.54 |
1.62 |
0.67 |
0.00 |
0.76 |
0.87 |
|
2012 |
1.62 |
1.62 |
0.68 |
0.00 |
0.81 |
0.90 |
|
2013 |
1.58 |
1.50 |
0.68 |
0.00 |
0.78 |
0.88 |
|
2014 |
1.42 |
1.46 |
0.65 |
0.00 |
0.71 |
0.86 |
|
2015 |
1.38 |
1.42 |
0.62 |
0.00 |
0.70 |
0.86 |
|
2016 |
1.42 |
1.46 |
0.61 |
0.00 |
0.70 |
0.84 |
|
2017 |
1.10 |
1.42 |
0.68 |
0.00 |
0.70 |
0.95 |
|
2018 |
1.50 |
1.54 |
0.66 |
0.00 |
0.75 |
0.88 |
|
2019 |
1.42 |
1.50 |
0.60 |
0.00 |
0.71 |
0.85 |
Overestimated \({M/k}^{LIT}\).
lb_tableSH(freq, 1, "mm", linf=86.0, lmat=25.0, mk_ratio=1.25*1.9,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1982 |
1.26 |
1.30 |
0.58 |
0.01 |
0.79 |
0.93 |
|
1983 |
1.10 |
1.22 |
0.56 |
0.01 |
0.74 |
0.94 |
|
1984 |
1.18 |
1.26 |
0.59 |
0.01 |
0.76 |
0.92 |
|
1985 |
1.18 |
1.26 |
0.58 |
0.01 |
0.77 |
0.93 |
|
1986 |
1.26 |
1.30 |
0.56 |
0.00 |
0.78 |
0.92 |
|
1987 |
1.30 |
1.30 |
0.59 |
0.01 |
0.82 |
0.94 |
|
1988 |
1.34 |
1.38 |
0.57 |
0.01 |
0.82 |
0.92 |
|
1989 |
1.38 |
1.46 |
0.63 |
0.03 |
0.87 |
0.96 |
|
1990 |
1.26 |
1.34 |
0.60 |
0.01 |
0.79 |
0.93 |
|
1991 |
1.14 |
1.26 |
0.55 |
0.00 |
0.73 |
0.92 |
|
1992 |
1.30 |
1.34 |
0.57 |
0.00 |
0.80 |
0.92 |
|
1993 |
1.30 |
1.38 |
0.59 |
0.01 |
0.82 |
0.94 |
|
1994 |
1.22 |
1.30 |
0.59 |
0.01 |
0.79 |
0.94 |
|
1995 |
1.22 |
1.34 |
0.58 |
0.01 |
0.79 |
0.94 |
|
1996 |
1.26 |
1.34 |
0.59 |
0.01 |
0.79 |
0.93 |
|
1997 |
1.22 |
1.34 |
0.56 |
0.00 |
0.77 |
0.92 |
|
1998 |
1.38 |
1.42 |
0.61 |
0.01 |
0.85 |
0.94 |
|
1999 |
1.22 |
1.34 |
0.63 |
0.02 |
0.80 |
0.95 |
|
2000 |
1.30 |
1.38 |
0.70 |
0.04 |
0.82 |
0.94 |
|
2001 |
1.30 |
1.34 |
0.62 |
0.02 |
0.81 |
0.93 |
|
2002 |
1.30 |
1.38 |
0.66 |
0.03 |
0.83 |
0.95 |
|
2003 |
1.42 |
1.50 |
0.71 |
0.07 |
0.91 |
0.98 |
|
2004 |
1.30 |
1.42 |
0.70 |
0.06 |
0.87 |
1.00 |
|
2005 |
1.30 |
1.38 |
0.70 |
0.05 |
0.85 |
0.97 |
|
2006 |
1.34 |
1.42 |
0.69 |
0.06 |
0.86 |
0.97 |
|
2007 |
1.34 |
1.46 |
0.68 |
0.04 |
0.87 |
0.98 |
|
2008 |
1.46 |
1.54 |
0.73 |
0.12 |
0.94 |
1.00 |
|
2009 |
1.54 |
1.62 |
0.73 |
0.23 |
1.01 |
1.04 |
|
2010 |
1.38 |
1.50 |
0.69 |
0.11 |
0.92 |
1.02 |
|
2011 |
1.54 |
1.62 |
0.67 |
0.06 |
0.92 |
0.94 |
|
2012 |
1.62 |
1.62 |
0.68 |
0.08 |
0.98 |
0.97 |
|
2013 |
1.58 |
1.50 |
0.68 |
0.09 |
0.95 |
0.96 |
|
2014 |
1.42 |
1.46 |
0.65 |
0.04 |
0.87 |
0.94 |
|
2015 |
1.38 |
1.42 |
0.62 |
0.02 |
0.85 |
0.94 |
|
2016 |
1.42 |
1.46 |
0.61 |
0.02 |
0.85 |
0.92 |
|
2017 |
1.10 |
1.42 |
0.68 |
0.04 |
0.84 |
1.08 |
|
2018 |
1.50 |
1.54 |
0.66 |
0.06 |
0.91 |
0.95 |
|
2019 |
1.42 |
1.50 |
0.60 |
0.01 |
0.86 |
0.93 |
M/k=1.5.
lb_tableSH(freq, 1, "m", linf=86.0, lmat=25.0, mk_ratio=1.5,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1982 |
1.26 |
1.30 |
0.58 |
0.00 |
0.66 |
0.84 |
|
1983 |
1.10 |
1.22 |
0.56 |
0.00 |
0.62 |
0.84 |
|
1984 |
1.18 |
1.26 |
0.59 |
0.00 |
0.63 |
0.83 |
|
1985 |
1.18 |
1.26 |
0.58 |
0.00 |
0.64 |
0.84 |
|
1986 |
1.26 |
1.30 |
0.56 |
0.00 |
0.66 |
0.83 |
|
1987 |
1.30 |
1.30 |
0.59 |
0.00 |
0.68 |
0.85 |
|
1988 |
1.34 |
1.38 |
0.57 |
0.00 |
0.68 |
0.84 |
|
1989 |
1.38 |
1.46 |
0.63 |
0.00 |
0.73 |
0.88 |
|
1990 |
1.26 |
1.34 |
0.60 |
0.00 |
0.66 |
0.84 |
|
1991 |
1.14 |
1.26 |
0.55 |
0.00 |
0.62 |
0.82 |
|
1992 |
1.30 |
1.34 |
0.57 |
0.00 |
0.67 |
0.84 |
|
1993 |
1.30 |
1.38 |
0.59 |
0.00 |
0.68 |
0.85 |
|
1994 |
1.22 |
1.30 |
0.59 |
0.00 |
0.66 |
0.85 |
|
1995 |
1.22 |
1.34 |
0.58 |
0.00 |
0.66 |
0.85 |
|
1996 |
1.26 |
1.34 |
0.59 |
0.00 |
0.66 |
0.84 |
|
1997 |
1.22 |
1.34 |
0.56 |
0.00 |
0.64 |
0.83 |
|
1998 |
1.38 |
1.42 |
0.61 |
0.00 |
0.71 |
0.86 |
|
1999 |
1.22 |
1.34 |
0.63 |
0.01 |
0.67 |
0.86 |
|
2000 |
1.30 |
1.38 |
0.70 |
0.02 |
0.69 |
0.86 |
|
2001 |
1.30 |
1.34 |
0.62 |
0.00 |
0.68 |
0.84 |
|
2002 |
1.30 |
1.38 |
0.66 |
0.01 |
0.69 |
0.87 |
|
2003 |
1.42 |
1.50 |
0.71 |
0.01 |
0.76 |
0.90 |
|
2004 |
1.30 |
1.42 |
0.70 |
0.01 |
0.73 |
0.91 |
|
2005 |
1.30 |
1.38 |
0.70 |
0.01 |
0.71 |
0.88 |
|
2006 |
1.34 |
1.42 |
0.69 |
0.01 |
0.72 |
0.89 |
|
2007 |
1.34 |
1.46 |
0.68 |
0.01 |
0.73 |
0.89 |
|
2008 |
1.46 |
1.54 |
0.73 |
0.02 |
0.79 |
0.93 |
|
2009 |
1.54 |
1.62 |
0.73 |
0.03 |
0.85 |
0.96 |
|
2010 |
1.38 |
1.50 |
0.69 |
0.00 |
0.77 |
0.93 |
|
2011 |
1.54 |
1.62 |
0.67 |
0.00 |
0.77 |
0.88 |
|
2012 |
1.62 |
1.62 |
0.68 |
0.00 |
0.82 |
0.91 |
|
2013 |
1.58 |
1.50 |
0.68 |
0.00 |
0.79 |
0.89 |
|
2014 |
1.42 |
1.46 |
0.65 |
0.00 |
0.73 |
0.87 |
|
2015 |
1.38 |
1.42 |
0.62 |
0.00 |
0.71 |
0.86 |
|
2016 |
1.42 |
1.46 |
0.61 |
0.00 |
0.71 |
0.84 |
|
2017 |
1.10 |
1.42 |
0.68 |
0.00 |
0.71 |
0.96 |
|
2018 |
1.50 |
1.54 |
0.66 |
0.00 |
0.77 |
0.88 |
|
2019 |
1.42 |
1.50 |
0.60 |
0.00 |
0.72 |
0.86 |
Underestimated \(L_{inf}^{LIT}\).
lb_tableSH(freq, 1, "mm", linf=0.75*86.0, lmat=25.0, mk_ratio=1.9,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1982 |
1.26 |
1.30 |
0.78 |
0.13 |
0.96 |
0.99 |
|
1983 |
1.10 |
1.22 |
0.75 |
0.08 |
0.90 |
1.01 |
|
1984 |
1.18 |
1.26 |
0.79 |
0.11 |
0.92 |
0.99 |
|
1985 |
1.18 |
1.26 |
0.77 |
0.13 |
0.93 |
1.00 |
|
1986 |
1.26 |
1.30 |
0.75 |
0.10 |
0.95 |
0.98 |
|
1987 |
1.30 |
1.30 |
0.79 |
0.17 |
0.99 |
1.00 |
|
1988 |
1.34 |
1.38 |
0.76 |
0.13 |
0.99 |
0.98 |
|
1989 |
1.38 |
1.46 |
0.84 |
0.33 |
1.06 |
1.03 |
|
1990 |
1.26 |
1.34 |
0.80 |
0.14 |
0.96 |
0.99 |
|
1991 |
1.14 |
1.26 |
0.74 |
0.08 |
0.89 |
0.98 |
|
1992 |
1.30 |
1.34 |
0.77 |
0.13 |
0.97 |
0.98 |
|
1993 |
1.30 |
1.38 |
0.79 |
0.19 |
0.99 |
1.00 |
|
1994 |
1.22 |
1.30 |
0.79 |
0.12 |
0.96 |
1.01 |
|
1995 |
1.22 |
1.34 |
0.77 |
0.13 |
0.96 |
1.01 |
|
1996 |
1.26 |
1.34 |
0.79 |
0.13 |
0.96 |
0.99 |
|
1997 |
1.22 |
1.34 |
0.75 |
0.08 |
0.94 |
0.98 |
|
1998 |
1.38 |
1.42 |
0.82 |
0.24 |
1.04 |
1.00 |
|
1999 |
1.22 |
1.34 |
0.84 |
0.16 |
0.97 |
1.02 |
|
2000 |
1.30 |
1.38 |
0.93 |
0.16 |
1.00 |
1.00 |
|
2001 |
1.30 |
1.34 |
0.82 |
0.15 |
0.98 |
0.99 |
|
2002 |
1.30 |
1.38 |
0.88 |
0.22 |
1.01 |
1.02 |
|
2003 |
1.42 |
1.50 |
0.94 |
0.40 |
1.10 |
1.05 |
|
2004 |
1.30 |
1.42 |
0.93 |
0.32 |
1.06 |
1.07 |
|
2005 |
1.30 |
1.38 |
0.93 |
0.24 |
1.03 |
1.04 |
|
2006 |
1.34 |
1.42 |
0.92 |
0.27 |
1.05 |
1.04 |
|
2007 |
1.34 |
1.46 |
0.90 |
0.32 |
1.05 |
1.04 |
|
2008 |
1.46 |
1.54 |
0.98 |
0.47 |
1.15 |
1.07 |
|
2009 |
1.54 |
1.62 |
0.98 |
0.66 |
1.23 |
1.10 |
|
2010 |
1.38 |
1.50 |
0.93 |
0.47 |
1.12 |
1.09 |
|
2011 |
1.54 |
1.62 |
0.89 |
0.45 |
1.12 |
1.01 |
|
2012 |
1.62 |
1.62 |
0.91 |
0.57 |
1.19 |
1.04 |
|
2013 |
1.58 |
1.50 |
0.91 |
0.43 |
1.15 |
1.02 |
|
2014 |
1.42 |
1.46 |
0.86 |
0.29 |
1.05 |
1.00 |
|
2015 |
1.38 |
1.42 |
0.82 |
0.29 |
1.04 |
1.00 |
|
2016 |
1.42 |
1.46 |
0.81 |
0.22 |
1.03 |
0.98 |
|
2017 |
1.10 |
1.42 |
0.91 |
0.35 |
1.03 |
1.15 |
|
2018 |
1.50 |
1.54 |
0.88 |
0.41 |
1.11 |
1.02 |
|
2019 |
1.42 |
1.50 |
0.80 |
0.26 |
1.05 |
0.99 |
Overestimated \(L_{inf}^{LIT}\).
lb_tableSH(freq, 1, "mm", linf=1.25*86.0, lmat=25.0, mk_ratio=1.9,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1982 |
1.26 |
1.30 |
0.47 |
0 |
0.58 |
0.80 |
|
1983 |
1.10 |
1.22 |
0.45 |
0 |
0.54 |
0.80 |
|
1984 |
1.18 |
1.26 |
0.47 |
0 |
0.55 |
0.79 |
|
1985 |
1.18 |
1.26 |
0.46 |
0 |
0.56 |
0.80 |
|
1986 |
1.26 |
1.30 |
0.45 |
0 |
0.57 |
0.79 |
|
1987 |
1.30 |
1.30 |
0.48 |
0 |
0.60 |
0.81 |
|
1988 |
1.34 |
1.38 |
0.46 |
0 |
0.59 |
0.80 |
|
1989 |
1.38 |
1.46 |
0.50 |
0 |
0.64 |
0.84 |
|
1990 |
1.26 |
1.34 |
0.48 |
0 |
0.58 |
0.80 |
|
1991 |
1.14 |
1.26 |
0.44 |
0 |
0.54 |
0.78 |
|
1992 |
1.30 |
1.34 |
0.46 |
0 |
0.58 |
0.80 |
|
1993 |
1.30 |
1.38 |
0.47 |
0 |
0.59 |
0.81 |
|
1994 |
1.22 |
1.30 |
0.47 |
0 |
0.57 |
0.81 |
|
1995 |
1.22 |
1.34 |
0.46 |
0 |
0.58 |
0.81 |
|
1996 |
1.26 |
1.34 |
0.48 |
0 |
0.58 |
0.80 |
|
1997 |
1.22 |
1.34 |
0.45 |
0 |
0.56 |
0.79 |
|
1998 |
1.38 |
1.42 |
0.49 |
0 |
0.62 |
0.82 |
|
1999 |
1.22 |
1.34 |
0.51 |
0 |
0.58 |
0.82 |
|
2000 |
1.30 |
1.38 |
0.56 |
0 |
0.60 |
0.82 |
|
2001 |
1.30 |
1.34 |
0.49 |
0 |
0.59 |
0.81 |
|
2002 |
1.30 |
1.38 |
0.53 |
0 |
0.60 |
0.83 |
|
2003 |
1.42 |
1.50 |
0.57 |
0 |
0.66 |
0.86 |
|
2004 |
1.30 |
1.42 |
0.56 |
0 |
0.64 |
0.87 |
|
2005 |
1.30 |
1.38 |
0.56 |
0 |
0.62 |
0.84 |
|
2006 |
1.34 |
1.42 |
0.55 |
0 |
0.63 |
0.85 |
|
2007 |
1.34 |
1.46 |
0.54 |
0 |
0.63 |
0.85 |
|
2008 |
1.46 |
1.54 |
0.59 |
0 |
0.69 |
0.88 |
|
2009 |
1.54 |
1.62 |
0.59 |
0 |
0.74 |
0.92 |
|
2010 |
1.38 |
1.50 |
0.56 |
0 |
0.67 |
0.89 |
|
2011 |
1.54 |
1.62 |
0.53 |
0 |
0.67 |
0.84 |
|
2012 |
1.62 |
1.62 |
0.54 |
0 |
0.72 |
0.87 |
|
2013 |
1.58 |
1.50 |
0.54 |
0 |
0.69 |
0.85 |
|
2014 |
1.42 |
1.46 |
0.52 |
0 |
0.63 |
0.82 |
|
2015 |
1.38 |
1.42 |
0.49 |
0 |
0.62 |
0.82 |
|
2016 |
1.42 |
1.46 |
0.49 |
0 |
0.62 |
0.80 |
|
2017 |
1.10 |
1.42 |
0.54 |
0 |
0.62 |
0.92 |
|
2018 |
1.50 |
1.54 |
0.53 |
0 |
0.67 |
0.84 |
|
2019 |
1.42 |
1.50 |
0.48 |
0 |
0.63 |
0.82 |
1.2 Nephrops norvegicus FU25 Females
Life history parameters:
\(L_{mat}\) = 28.0 mm. \(L_{inf}^{LIT}\) = 71.0 mm. \({M/k}^{LIT}\) = 1.9.
Below, catch/landings at length per year and mean weights-at-length per year are loaded.
wal <- read.csv("25_Females_w.csv", stringsAsFactors = FALSE)
freq <- read.csv("25_Females.csv", stringsAsFactors = FALSE)
head(wal)## MeanLength X1982 X1983 X1984 X1985 X1986 X1987 X1988
## 1 15.5 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656
## 2 16.5 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947
## 3 17.5 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080
## 4 18.5 4.342413 4.342413 4.342413 4.342413 4.342413 4.342413 4.342413
## 5 19.5 5.128352 5.128352 5.128352 5.128352 5.128352 5.128352 5.128352
## 6 20.5 6.006350 6.006350 6.006350 6.006350 6.006350 6.006350 6.006350
## X1989 X1990 X1991 X1992 X1993 X1994 X1995 X1996
## 1 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656
## 2 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947
## 3 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080
## 4 4.342413 4.342413 4.342413 4.342413 4.342413 4.342413 4.342413 4.342413
## 5 5.128352 5.128352 5.128352 5.128352 5.128352 5.128352 5.128352 5.128352
## 6 6.006350 6.006350 6.006350 6.006350 6.006350 6.006350 6.006350 6.006350
## X1997 X1998 X1999 X2000 X2001 X2002 X2003 X2004
## 1 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656
## 2 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947
## 3 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080
## 4 4.342413 4.342413 4.342413 4.342413 4.342413 4.342413 4.342413 4.342413
## 5 5.128352 5.128352 5.128352 5.128352 5.128352 5.128352 5.128352 5.128352
## 6 6.006350 6.006350 6.006350 6.006350 6.006350 6.006350 6.006350 6.006350
## X2005 X2006 X2007 X2008 X2009 X2010 X2011 X2012
## 1 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656
## 2 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947
## 3 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080
## 4 4.342413 4.342413 4.342413 4.342413 4.342413 4.342413 4.342413 4.342413
## 5 5.128352 5.128352 5.128352 5.128352 5.128352 5.128352 5.128352 5.128352
## 6 6.006350 6.006350 6.006350 6.006350 6.006350 6.006350 6.006350 6.006350
## X2013 X2014 X2015 X2016 X2017 X2018 X2019
## 1 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656
## 2 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947
## 3 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080
## 4 4.342413 4.342413 4.342413 4.342413 4.342413 4.342413 4.342413
## 5 5.128352 5.128352 5.128352 5.128352 5.128352 5.128352 5.128352
## 6 6.006350 6.006350 6.006350 6.006350 6.006350 6.006350 6.006350head(freq)## MeanLength X1982 X1983 X1984 X1985 X1986 X1987 X1988 X1989 X1990 X1991 X1992
## 1 15.5 6044 NA NA NA NA NA NA NA NA NA NA
## 2 16.5 0 NA NA NA NA NA NA NA NA NA NA
## 3 17.5 0 NA NA NA NA NA NA NA NA NA NA
## 4 18.5 0 NA NA NA NA NA NA NA NA NA NA
## 5 19.5 791 0 NA NA NA NA NA NA NA NA NA
## 6 20.5 0 13378 782 2494 925 77 223 NA NA NA NA
## X1993 X1994 X1995 X1996 X1997 X1998 X1999 X2000 X2001 X2002 X2003 X2004 X2005
## 1 NA NA NA NA NA NA NA NA NA NA NA NA NA
## 2 NA NA NA NA NA NA NA NA NA NA NA NA NA
## 3 NA NA NA NA NA NA NA NA NA NA NA NA NA
## 4 NA NA NA NA NA NA NA NA NA NA NA NA NA
## 5 NA NA NA NA NA NA NA NA NA NA NA NA NA
## 6 NA NA NA NA NA NA NA NA NA NA NA NA NA
## X2006 X2007 X2008 X2009 X2010 X2011 X2012 X2013 X2014 X2015 X2016 X2017 X2018
## 1 NA NA NA NA NA NA NA NA NA NA NA NA NA
## 2 NA NA NA NA NA NA NA NA NA NA NA NA NA
## 3 NA NA NA NA NA NA NA NA NA NA NA NA NA
## 4 NA NA NA NA NA NA NA NA NA NA NA NA NA
## 5 NA NA NA NA NA NA NA NA NA NA NA NA NA
## 6 NA NA NA NA NA NA NA NA NA NA NA NA NA
## X2019
## 1 NA
## 2 NA
## 3 NA
## 4 NA
## 5 NA
## 6 NAbin_plot(freq, 1, "mm")
On based on the previous plots of the length distribution BinWidth is fixed equal to 1.
Reference model:
lb_tableSH(freq, 1, "mm", linf = 71.0 , lmat = 28.0 , mk_ratio = 1.90 ,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1982 |
1.09 |
1.12 |
0.67 |
0.02 |
0.83 |
0.93 |
|
1983 |
0.91 |
1.02 |
0.62 |
0.00 |
0.75 |
0.94 |
|
1984 |
1.05 |
1.05 |
0.64 |
0.01 |
0.78 |
0.89 |
|
1985 |
0.98 |
1.05 |
0.65 |
0.01 |
0.77 |
0.91 |
|
1986 |
1.02 |
1.09 |
0.66 |
0.02 |
0.80 |
0.94 |
|
1987 |
0.98 |
1.12 |
0.67 |
0.02 |
0.83 |
0.98 |
|
1988 |
1.09 |
1.16 |
0.69 |
0.03 |
0.84 |
0.94 |
|
1989 |
1.23 |
1.27 |
0.69 |
0.03 |
0.91 |
0.94 |
|
1990 |
0.98 |
1.12 |
0.69 |
0.02 |
0.84 |
1.00 |
|
1991 |
1.02 |
1.09 |
0.66 |
0.01 |
0.79 |
0.92 |
|
1992 |
1.09 |
1.16 |
0.63 |
0.00 |
0.82 |
0.91 |
|
1993 |
1.20 |
1.20 |
0.65 |
0.01 |
0.86 |
0.91 |
|
1994 |
1.02 |
1.12 |
0.63 |
0.01 |
0.81 |
0.94 |
|
1995 |
1.09 |
1.16 |
0.64 |
0.01 |
0.84 |
0.94 |
|
1996 |
1.09 |
1.12 |
0.67 |
0.01 |
0.83 |
0.92 |
|
1997 |
1.09 |
1.16 |
0.65 |
0.01 |
0.82 |
0.92 |
|
1998 |
1.09 |
1.23 |
0.71 |
0.03 |
0.88 |
0.98 |
|
1999 |
1.09 |
1.20 |
0.69 |
0.03 |
0.86 |
0.96 |
|
2000 |
1.16 |
1.20 |
0.71 |
0.03 |
0.87 |
0.94 |
|
2001 |
1.05 |
1.16 |
0.67 |
0.01 |
0.84 |
0.95 |
|
2002 |
1.16 |
1.23 |
0.69 |
0.03 |
0.87 |
0.93 |
|
2003 |
1.30 |
1.30 |
0.72 |
0.05 |
0.93 |
0.93 |
|
2004 |
1.16 |
1.20 |
0.71 |
0.04 |
0.89 |
0.96 |
|
2005 |
1.12 |
1.20 |
0.71 |
0.04 |
0.88 |
0.97 |
|
2006 |
1.12 |
1.20 |
0.73 |
0.06 |
0.89 |
0.97 |
|
2007 |
1.20 |
1.27 |
0.72 |
0.05 |
0.91 |
0.96 |
|
2008 |
1.27 |
1.30 |
0.76 |
0.11 |
0.97 |
0.98 |
|
2009 |
0.91 |
1.38 |
0.77 |
0.22 |
0.98 |
1.22 |
|
2010 |
1.20 |
1.27 |
0.75 |
0.11 |
0.95 |
1.00 |
|
2011 |
1.38 |
1.34 |
0.73 |
0.08 |
0.96 |
0.92 |
|
2012 |
1.27 |
1.23 |
0.76 |
0.09 |
0.96 |
0.97 |
|
2013 |
1.02 |
1.16 |
0.73 |
0.07 |
0.87 |
1.01 |
|
2014 |
1.23 |
1.27 |
0.74 |
0.08 |
0.93 |
0.96 |
|
2015 |
1.09 |
1.20 |
0.71 |
0.05 |
0.88 |
0.98 |
|
2016 |
1.27 |
1.27 |
0.66 |
0.01 |
0.89 |
0.90 |
|
2017 |
1.23 |
1.30 |
0.76 |
0.09 |
0.94 |
0.97 |
|
2018 |
1.30 |
1.34 |
0.71 |
0.06 |
0.96 |
0.96 |
|
2019 |
1.23 |
1.30 |
0.70 |
0.04 |
0.91 |
0.94 |
Underestimated \({M/k}^{LIT}\).
lb_tableSH(freq, 1, "mm", linf=71.0, lmat=28.0, mk_ratio=0.75*1.9,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1982 |
1.09 |
1.12 |
0.67 |
0.00 |
0.75 |
0.88 |
|
1983 |
0.91 |
1.02 |
0.62 |
0.00 |
0.68 |
0.88 |
|
1984 |
1.05 |
1.05 |
0.64 |
0.00 |
0.71 |
0.85 |
|
1985 |
0.98 |
1.05 |
0.65 |
0.00 |
0.69 |
0.86 |
|
1986 |
1.02 |
1.09 |
0.66 |
0.01 |
0.73 |
0.88 |
|
1987 |
0.98 |
1.12 |
0.67 |
0.00 |
0.75 |
0.92 |
|
1988 |
1.09 |
1.16 |
0.69 |
0.00 |
0.76 |
0.89 |
|
1989 |
1.23 |
1.27 |
0.69 |
0.00 |
0.82 |
0.90 |
|
1990 |
0.98 |
1.12 |
0.69 |
0.00 |
0.76 |
0.94 |
|
1991 |
1.02 |
1.09 |
0.66 |
0.00 |
0.71 |
0.87 |
|
1992 |
1.09 |
1.16 |
0.63 |
0.00 |
0.74 |
0.87 |
|
1993 |
1.20 |
1.20 |
0.65 |
0.00 |
0.78 |
0.87 |
|
1994 |
1.02 |
1.12 |
0.63 |
0.00 |
0.73 |
0.89 |
|
1995 |
1.09 |
1.16 |
0.64 |
0.00 |
0.76 |
0.89 |
|
1996 |
1.09 |
1.12 |
0.67 |
0.00 |
0.75 |
0.88 |
|
1997 |
1.09 |
1.16 |
0.65 |
0.00 |
0.74 |
0.87 |
|
1998 |
1.09 |
1.23 |
0.71 |
0.01 |
0.79 |
0.93 |
|
1999 |
1.09 |
1.20 |
0.69 |
0.00 |
0.78 |
0.91 |
|
2000 |
1.16 |
1.20 |
0.71 |
0.01 |
0.79 |
0.89 |
|
2001 |
1.05 |
1.16 |
0.67 |
0.00 |
0.75 |
0.90 |
|
2002 |
1.16 |
1.23 |
0.69 |
0.01 |
0.79 |
0.89 |
|
2003 |
1.30 |
1.30 |
0.72 |
0.01 |
0.84 |
0.89 |
|
2004 |
1.16 |
1.20 |
0.71 |
0.01 |
0.81 |
0.91 |
|
2005 |
1.12 |
1.20 |
0.71 |
0.01 |
0.80 |
0.92 |
|
2006 |
1.12 |
1.20 |
0.73 |
0.02 |
0.80 |
0.92 |
|
2007 |
1.20 |
1.27 |
0.72 |
0.01 |
0.82 |
0.92 |
|
2008 |
1.27 |
1.30 |
0.76 |
0.04 |
0.87 |
0.94 |
|
2009 |
0.91 |
1.38 |
0.77 |
0.06 |
0.88 |
1.14 |
|
2010 |
1.20 |
1.27 |
0.75 |
0.02 |
0.85 |
0.95 |
|
2011 |
1.38 |
1.34 |
0.73 |
0.01 |
0.87 |
0.89 |
|
2012 |
1.27 |
1.23 |
0.76 |
0.03 |
0.87 |
0.93 |
|
2013 |
1.02 |
1.16 |
0.73 |
0.02 |
0.79 |
0.96 |
|
2014 |
1.23 |
1.27 |
0.74 |
0.02 |
0.84 |
0.92 |
|
2015 |
1.09 |
1.20 |
0.71 |
0.00 |
0.79 |
0.93 |
|
2016 |
1.27 |
1.27 |
0.66 |
0.00 |
0.80 |
0.86 |
|
2017 |
1.23 |
1.30 |
0.76 |
0.06 |
0.84 |
0.92 |
|
2018 |
1.30 |
1.34 |
0.71 |
0.01 |
0.87 |
0.92 |
|
2019 |
1.23 |
1.30 |
0.70 |
0.00 |
0.82 |
0.90 |
Overestimated \({M/k}^{LIT}\).
lb_tableSH(freq, 1, "mm", linf=71.0, lmat=28.0, mk_ratio=1.25*1.9,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1982 |
1.09 |
1.12 |
0.67 |
0.06 |
0.92 |
0.97 |
|
1983 |
0.91 |
1.02 |
0.62 |
0.02 |
0.83 |
0.98 |
|
1984 |
1.05 |
1.05 |
0.64 |
0.03 |
0.86 |
0.93 |
|
1985 |
0.98 |
1.05 |
0.65 |
0.03 |
0.84 |
0.95 |
|
1986 |
1.02 |
1.09 |
0.66 |
0.03 |
0.88 |
0.97 |
|
1987 |
0.98 |
1.12 |
0.67 |
0.09 |
0.91 |
1.02 |
|
1988 |
1.09 |
1.16 |
0.69 |
0.08 |
0.93 |
0.98 |
|
1989 |
1.23 |
1.27 |
0.69 |
0.10 |
1.00 |
0.97 |
|
1990 |
0.98 |
1.12 |
0.69 |
0.10 |
0.92 |
1.04 |
|
1991 |
1.02 |
1.09 |
0.66 |
0.05 |
0.86 |
0.95 |
|
1992 |
1.09 |
1.16 |
0.63 |
0.02 |
0.90 |
0.95 |
|
1993 |
1.20 |
1.20 |
0.65 |
0.04 |
0.95 |
0.94 |
|
1994 |
1.02 |
1.12 |
0.63 |
0.02 |
0.89 |
0.98 |
|
1995 |
1.09 |
1.16 |
0.64 |
0.04 |
0.92 |
0.97 |
|
1996 |
1.09 |
1.12 |
0.67 |
0.05 |
0.91 |
0.96 |
|
1997 |
1.09 |
1.16 |
0.65 |
0.03 |
0.90 |
0.96 |
|
1998 |
1.09 |
1.23 |
0.71 |
0.10 |
0.96 |
1.01 |
|
1999 |
1.09 |
1.20 |
0.69 |
0.08 |
0.94 |
0.99 |
|
2000 |
1.16 |
1.20 |
0.71 |
0.08 |
0.96 |
0.97 |
|
2001 |
1.05 |
1.16 |
0.67 |
0.06 |
0.92 |
0.99 |
|
2002 |
1.16 |
1.23 |
0.69 |
0.08 |
0.96 |
0.97 |
|
2003 |
1.30 |
1.30 |
0.72 |
0.12 |
1.02 |
0.95 |
|
2004 |
1.16 |
1.20 |
0.71 |
0.11 |
0.98 |
0.99 |
|
2005 |
1.12 |
1.20 |
0.71 |
0.12 |
0.97 |
1.00 |
|
2006 |
1.12 |
1.20 |
0.73 |
0.13 |
0.97 |
1.00 |
|
2007 |
1.20 |
1.27 |
0.72 |
0.13 |
1.00 |
0.99 |
|
2008 |
1.27 |
1.30 |
0.76 |
0.24 |
1.06 |
1.01 |
|
2009 |
0.91 |
1.38 |
0.77 |
0.46 |
1.07 |
1.27 |
|
2010 |
1.20 |
1.27 |
0.75 |
0.27 |
1.04 |
1.03 |
|
2011 |
1.38 |
1.34 |
0.73 |
0.12 |
1.06 |
0.95 |
|
2012 |
1.27 |
1.23 |
0.76 |
0.21 |
1.05 |
1.00 |
|
2013 |
1.02 |
1.16 |
0.73 |
0.15 |
0.95 |
1.05 |
|
2014 |
1.23 |
1.27 |
0.74 |
0.18 |
1.02 |
0.99 |
|
2015 |
1.09 |
1.20 |
0.71 |
0.14 |
0.96 |
1.02 |
|
2016 |
1.27 |
1.27 |
0.66 |
0.05 |
0.98 |
0.93 |
|
2017 |
1.23 |
1.30 |
0.76 |
0.16 |
1.03 |
1.00 |
|
2018 |
1.30 |
1.34 |
0.71 |
0.22 |
1.06 |
0.99 |
|
2019 |
1.23 |
1.30 |
0.70 |
0.13 |
1.00 |
0.97 |
M/k=1.5.
lb_tableSH(freq, 1, "m", linf=71.0, lmat=28.0, mk_ratio=1.5,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1982 |
1.09 |
1.12 |
0.67 |
0.00 |
0.77 |
0.89 |
|
1983 |
0.91 |
1.02 |
0.62 |
0.00 |
0.69 |
0.89 |
|
1984 |
1.05 |
1.05 |
0.64 |
0.00 |
0.72 |
0.85 |
|
1985 |
0.98 |
1.05 |
0.65 |
0.00 |
0.71 |
0.87 |
|
1986 |
1.02 |
1.09 |
0.66 |
0.01 |
0.74 |
0.89 |
|
1987 |
0.98 |
1.12 |
0.67 |
0.00 |
0.76 |
0.94 |
|
1988 |
1.09 |
1.16 |
0.69 |
0.01 |
0.77 |
0.90 |
|
1989 |
1.23 |
1.27 |
0.69 |
0.01 |
0.84 |
0.91 |
|
1990 |
0.98 |
1.12 |
0.69 |
0.01 |
0.77 |
0.95 |
|
1991 |
1.02 |
1.09 |
0.66 |
0.00 |
0.72 |
0.87 |
|
1992 |
1.09 |
1.16 |
0.63 |
0.00 |
0.75 |
0.88 |
|
1993 |
1.20 |
1.20 |
0.65 |
0.00 |
0.79 |
0.88 |
|
1994 |
1.02 |
1.12 |
0.63 |
0.00 |
0.74 |
0.90 |
|
1995 |
1.09 |
1.16 |
0.64 |
0.00 |
0.77 |
0.90 |
|
1996 |
1.09 |
1.12 |
0.67 |
0.00 |
0.76 |
0.89 |
|
1997 |
1.09 |
1.16 |
0.65 |
0.00 |
0.76 |
0.88 |
|
1998 |
1.09 |
1.23 |
0.71 |
0.01 |
0.80 |
0.94 |
|
1999 |
1.09 |
1.20 |
0.69 |
0.00 |
0.79 |
0.92 |
|
2000 |
1.16 |
1.20 |
0.71 |
0.01 |
0.80 |
0.90 |
|
2001 |
1.05 |
1.16 |
0.67 |
0.00 |
0.77 |
0.91 |
|
2002 |
1.16 |
1.23 |
0.69 |
0.01 |
0.80 |
0.90 |
|
2003 |
1.30 |
1.30 |
0.72 |
0.01 |
0.86 |
0.90 |
|
2004 |
1.16 |
1.20 |
0.71 |
0.01 |
0.82 |
0.92 |
|
2005 |
1.12 |
1.20 |
0.71 |
0.01 |
0.81 |
0.93 |
|
2006 |
1.12 |
1.20 |
0.73 |
0.02 |
0.81 |
0.93 |
|
2007 |
1.20 |
1.27 |
0.72 |
0.01 |
0.84 |
0.92 |
|
2008 |
1.27 |
1.30 |
0.76 |
0.05 |
0.89 |
0.95 |
|
2009 |
0.91 |
1.38 |
0.77 |
0.08 |
0.90 |
1.16 |
|
2010 |
1.20 |
1.27 |
0.75 |
0.04 |
0.87 |
0.96 |
|
2011 |
1.38 |
1.34 |
0.73 |
0.01 |
0.88 |
0.90 |
|
2012 |
1.27 |
1.23 |
0.76 |
0.03 |
0.88 |
0.94 |
|
2013 |
1.02 |
1.16 |
0.73 |
0.02 |
0.80 |
0.97 |
|
2014 |
1.23 |
1.27 |
0.74 |
0.03 |
0.85 |
0.92 |
|
2015 |
1.09 |
1.20 |
0.71 |
0.01 |
0.81 |
0.94 |
|
2016 |
1.27 |
1.27 |
0.66 |
0.00 |
0.82 |
0.87 |
|
2017 |
1.23 |
1.30 |
0.76 |
0.06 |
0.86 |
0.93 |
|
2018 |
1.30 |
1.34 |
0.71 |
0.01 |
0.88 |
0.93 |
|
2019 |
1.23 |
1.30 |
0.70 |
0.01 |
0.84 |
0.91 |
Underestimated \(L_{inf}^{LIT}\).
lb_tableSH(freq, 1, "mm", linf=0.75*71.0, lmat=28.0, mk_ratio=1.9,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1982 |
1.09 |
1.12 |
0.89 |
0.40 |
1.11 |
1.03 |
|
1983 |
0.91 |
1.02 |
0.83 |
0.23 |
1.00 |
1.05 |
|
1984 |
1.05 |
1.05 |
0.85 |
0.19 |
1.05 |
0.99 |
|
1985 |
0.98 |
1.05 |
0.87 |
0.21 |
1.02 |
1.02 |
|
1986 |
1.02 |
1.09 |
0.88 |
0.31 |
1.07 |
1.04 |
|
1987 |
0.98 |
1.12 |
0.90 |
0.42 |
1.10 |
1.09 |
|
1988 |
1.09 |
1.16 |
0.92 |
0.43 |
1.12 |
1.04 |
|
1989 |
1.23 |
1.27 |
0.93 |
0.68 |
1.21 |
1.03 |
|
1990 |
0.98 |
1.12 |
0.91 |
0.48 |
1.12 |
1.11 |
|
1991 |
1.02 |
1.09 |
0.88 |
0.28 |
1.05 |
1.02 |
|
1992 |
1.09 |
1.16 |
0.84 |
0.36 |
1.09 |
1.01 |
|
1993 |
1.20 |
1.20 |
0.86 |
0.49 |
1.15 |
1.00 |
|
1994 |
1.02 |
1.12 |
0.84 |
0.37 |
1.08 |
1.05 |
|
1995 |
1.09 |
1.16 |
0.86 |
0.44 |
1.12 |
1.04 |
|
1996 |
1.09 |
1.12 |
0.89 |
0.35 |
1.10 |
1.02 |
|
1997 |
1.09 |
1.16 |
0.87 |
0.38 |
1.10 |
1.02 |
|
1998 |
1.09 |
1.23 |
0.94 |
0.59 |
1.17 |
1.08 |
|
1999 |
1.09 |
1.20 |
0.92 |
0.53 |
1.15 |
1.06 |
|
2000 |
1.16 |
1.20 |
0.94 |
0.49 |
1.16 |
1.03 |
|
2001 |
1.05 |
1.16 |
0.89 |
0.44 |
1.11 |
1.05 |
|
2002 |
1.16 |
1.23 |
0.92 |
0.53 |
1.16 |
1.03 |
|
2003 |
1.30 |
1.30 |
0.96 |
0.76 |
1.24 |
1.01 |
|
2004 |
1.16 |
1.20 |
0.94 |
0.60 |
1.19 |
1.06 |
|
2005 |
1.12 |
1.20 |
0.95 |
0.57 |
1.18 |
1.07 |
|
2006 |
1.12 |
1.20 |
0.98 |
0.58 |
1.18 |
1.07 |
|
2007 |
1.20 |
1.27 |
0.96 |
0.69 |
1.22 |
1.05 |
|
2008 |
1.27 |
1.30 |
1.02 |
0.80 |
1.29 |
1.07 |
|
2009 |
0.91 |
1.38 |
1.02 |
0.86 |
1.31 |
1.36 |
|
2010 |
1.20 |
1.27 |
1.00 |
0.67 |
1.26 |
1.09 |
|
2011 |
1.38 |
1.34 |
0.97 |
0.83 |
1.28 |
1.01 |
|
2012 |
1.27 |
1.23 |
1.02 |
0.67 |
1.28 |
1.06 |
|
2013 |
1.02 |
1.16 |
0.98 |
0.52 |
1.16 |
1.12 |
|
2014 |
1.23 |
1.27 |
0.99 |
0.74 |
1.24 |
1.05 |
|
2015 |
1.09 |
1.20 |
0.95 |
0.57 |
1.17 |
1.09 |
|
2016 |
1.27 |
1.27 |
0.88 |
0.63 |
1.19 |
0.99 |
|
2017 |
1.23 |
1.30 |
1.02 |
0.77 |
1.25 |
1.06 |
|
2018 |
1.30 |
1.34 |
0.95 |
0.87 |
1.28 |
1.05 |
|
2019 |
1.23 |
1.30 |
0.93 |
0.76 |
1.22 |
1.03 |
Overestimated \(L_{inf}^{LIT}\).
lb_tableSH(freq, 1, "mm", linf=1.25*71.0, lmat=28.0, mk_ratio=1.9,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1982 |
1.09 |
1.12 |
0.54 |
0 |
0.67 |
0.85 |
|
1983 |
0.91 |
1.02 |
0.50 |
0 |
0.60 |
0.85 |
|
1984 |
1.05 |
1.05 |
0.51 |
0 |
0.63 |
0.81 |
|
1985 |
0.98 |
1.05 |
0.52 |
0 |
0.61 |
0.83 |
|
1986 |
1.02 |
1.09 |
0.53 |
0 |
0.64 |
0.85 |
|
1987 |
0.98 |
1.12 |
0.54 |
0 |
0.66 |
0.89 |
|
1988 |
1.09 |
1.16 |
0.55 |
0 |
0.67 |
0.86 |
|
1989 |
1.23 |
1.27 |
0.56 |
0 |
0.73 |
0.86 |
|
1990 |
0.98 |
1.12 |
0.55 |
0 |
0.67 |
0.91 |
|
1991 |
1.02 |
1.09 |
0.53 |
0 |
0.63 |
0.83 |
|
1992 |
1.09 |
1.16 |
0.50 |
0 |
0.65 |
0.83 |
|
1993 |
1.20 |
1.20 |
0.52 |
0 |
0.69 |
0.83 |
|
1994 |
1.02 |
1.12 |
0.50 |
0 |
0.65 |
0.86 |
|
1995 |
1.09 |
1.16 |
0.51 |
0 |
0.67 |
0.86 |
|
1996 |
1.09 |
1.12 |
0.53 |
0 |
0.66 |
0.84 |
|
1997 |
1.09 |
1.16 |
0.52 |
0 |
0.66 |
0.84 |
|
1998 |
1.09 |
1.23 |
0.57 |
0 |
0.70 |
0.89 |
|
1999 |
1.09 |
1.20 |
0.55 |
0 |
0.69 |
0.88 |
|
2000 |
1.16 |
1.20 |
0.56 |
0 |
0.70 |
0.86 |
|
2001 |
1.05 |
1.16 |
0.54 |
0 |
0.67 |
0.87 |
|
2002 |
1.16 |
1.23 |
0.55 |
0 |
0.70 |
0.86 |
|
2003 |
1.30 |
1.30 |
0.57 |
0 |
0.75 |
0.86 |
|
2004 |
1.16 |
1.20 |
0.57 |
0 |
0.72 |
0.88 |
|
2005 |
1.12 |
1.20 |
0.57 |
0 |
0.71 |
0.88 |
|
2006 |
1.12 |
1.20 |
0.59 |
0 |
0.71 |
0.89 |
|
2007 |
1.20 |
1.27 |
0.57 |
0 |
0.73 |
0.88 |
|
2008 |
1.27 |
1.30 |
0.61 |
0 |
0.77 |
0.90 |
|
2009 |
0.91 |
1.38 |
0.61 |
0 |
0.78 |
1.10 |
|
2010 |
1.20 |
1.27 |
0.60 |
0 |
0.76 |
0.91 |
|
2011 |
1.38 |
1.34 |
0.58 |
0 |
0.77 |
0.86 |
|
2012 |
1.27 |
1.23 |
0.61 |
0 |
0.77 |
0.90 |
|
2013 |
1.02 |
1.16 |
0.59 |
0 |
0.70 |
0.92 |
|
2014 |
1.23 |
1.27 |
0.59 |
0 |
0.74 |
0.88 |
|
2015 |
1.09 |
1.20 |
0.57 |
0 |
0.70 |
0.90 |
|
2016 |
1.27 |
1.27 |
0.53 |
0 |
0.71 |
0.83 |
|
2017 |
1.23 |
1.30 |
0.61 |
0 |
0.75 |
0.89 |
|
2018 |
1.30 |
1.34 |
0.57 |
0 |
0.77 |
0.88 |
|
2019 |
1.23 |
1.30 |
0.56 |
0 |
0.73 |
0.87 |
2 Nephrops norvegicus FU2627
2.1 Nephrops norvegicus FU2627 Males
Life history parameters:
\(L_{mat}\) = 28.0 mm. \(L_{inf}^{LIT}\) = 80.0 mm. \({M/k}^{LIT}\) = 2.
Below, catch/landings at length per year and mean weights-at-length per year are loaded.
wal <- read.csv("FU2627_PesosMales_1988_2019_medio.csv", stringsAsFactors = FALSE)
freq <- read.csv("FU2627_tallasMales_1988_2019.csv", stringsAsFactors = FALSE)
head(freq)## talla X1988 X1989 X1990 X1991 X1992 X1993 X1994 X1995 X1996 X1997 X1998
## 1 12.5 0 0 7594 0 0 0 0 0 0 0 0
## 2 13.5 0 66181 8178 0 0 0 0 0 0 0 0
## 3 14.5 0 66181 10497 0 0 0 0 0 0 0 0
## 4 15.5 0 339166 84532 0 0 0 0 0 0 0 0
## 5 16.5 0 75996 135341 5393 0 0 0 0 0 0 0
## 6 17.5 0 92508 175731 8053 0 0 5015 0 0 0 0
## X1999 X2000 X2001 X2002 X2003 X2004 X2005 X2006 X2007 X2008 X2009 X2010 X2011
## 1 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5 0 0 4030 0 0 0 0 0 0 0 0 0 0
## 6 0 0 232 142 0 0 0 0 0 0 0 0 0
## X2012 X2013 X2014 X2015 X2016 X2017 X2018 X2019
## 1 0 0 0 0 0 0 0 0
## 2 0 0 0 0 0 0 0 0
## 3 0 0 0 0 0 0 0 0
## 4 0 0 0 0 0 0 0 0
## 5 0 0 0 0 0 0 0 0
## 6 0 0 0 0 0 0 0 0head(wal)## talla X1988 X1989 X1990 X1991 X1992 X1993 X1994 X1995
## 1 12.5 1.258068 1.258068 1.258068 1.258068 1.258068 1.258068 1.258068 1.258068
## 2 13.5 1.604439 1.604439 1.604439 1.604439 1.604439 1.604439 1.604439 1.604439
## 3 14.5 2.010904 2.010904 2.010904 2.010904 2.010904 2.010904 2.010904 2.010904
## 4 15.5 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656
## 5 16.5 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947
## 6 17.5 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080
## X1996 X1997 X1998 X1999 X2000 X2001 X2002 X2003
## 1 1.258068 1.258068 1.258068 1.258068 1.258068 1.258068 1.258068 1.258068
## 2 1.604439 1.604439 1.604439 1.604439 1.604439 1.604439 1.604439 1.604439
## 3 2.010904 2.010904 2.010904 2.010904 2.010904 2.010904 2.010904 2.010904
## 4 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656
## 5 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947
## 6 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080
## X2004 X2005 X2006 X2007 X2008 X2009 X2010 X2011
## 1 1.258068 1.258068 1.258068 1.258068 1.258068 1.258068 1.258068 1.258068
## 2 1.604439 1.604439 1.604439 1.604439 1.604439 1.604439 1.604439 1.604439
## 3 2.010904 2.010904 2.010904 2.010904 2.010904 2.010904 2.010904 2.010904
## 4 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656
## 5 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947
## 6 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080
## X2012 X2013 X2014 X2015 X2016 X2017 X2018 X2019
## 1 1.258068 1.258068 1.258068 1.258068 1.258068 1.258068 1.258068 1.258068
## 2 1.604439 1.604439 1.604439 1.604439 1.604439 1.604439 1.604439 1.604439
## 3 2.010904 2.010904 2.010904 2.010904 2.010904 2.010904 2.010904 2.010904
## 4 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656
## 5 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947
## 6 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080bin_plot(freq, 1, "mm")
bin_plot(freq, 2, "mm")
On based on the previous plots of the length distribution BinWidth is fixed equal to 2.
Reference model:
lb_tableSH(freq, 2, "mm", linf=80, lmat=28, mk_ratio=2,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1988 |
1.11 |
1.11 |
0.62 |
0.01 |
0.75 |
0.89 |
|
1989 |
0.82 |
0.89 |
0.62 |
0.01 |
0.65 |
0.91 |
|
1990 |
0.75 |
0.82 |
0.53 |
0.00 |
0.56 |
0.82 |
|
1991 |
0.89 |
0.96 |
0.59 |
0.01 |
0.67 |
0.90 |
|
1992 |
0.96 |
1.11 |
0.65 |
0.02 |
0.77 |
0.98 |
|
1993 |
0.96 |
1.04 |
0.63 |
0.01 |
0.72 |
0.92 |
|
1994 |
1.04 |
1.11 |
0.69 |
0.03 |
0.77 |
0.94 |
|
1995 |
1.04 |
1.04 |
0.58 |
0.00 |
0.72 |
0.88 |
|
1996 |
0.89 |
0.96 |
0.61 |
0.01 |
0.68 |
0.90 |
|
1997 |
1.04 |
1.11 |
0.65 |
0.02 |
0.78 |
0.96 |
|
1998 |
1.11 |
1.18 |
0.67 |
0.03 |
0.82 |
0.96 |
|
1999 |
1.11 |
1.18 |
0.67 |
0.03 |
0.81 |
0.95 |
|
2000 |
0.82 |
1.04 |
0.73 |
0.04 |
0.74 |
1.03 |
|
2001 |
0.82 |
0.89 |
0.64 |
0.02 |
0.64 |
0.90 |
|
2002 |
1.11 |
1.18 |
0.75 |
0.06 |
0.83 |
0.98 |
|
2003 |
1.11 |
1.18 |
0.79 |
0.08 |
0.86 |
1.01 |
|
2004 |
1.25 |
1.32 |
0.79 |
0.09 |
0.90 |
0.99 |
|
2005 |
1.11 |
1.25 |
0.87 |
0.17 |
0.92 |
1.08 |
|
2006 |
1.18 |
1.32 |
0.85 |
0.11 |
0.89 |
1.01 |
|
2007 |
1.18 |
1.32 |
0.81 |
0.12 |
0.91 |
1.03 |
|
2008 |
1.18 |
1.32 |
0.84 |
0.19 |
0.94 |
1.07 |
|
2009 |
1.18 |
1.32 |
0.87 |
0.29 |
0.97 |
1.10 |
|
2010 |
1.54 |
1.61 |
0.91 |
0.48 |
1.14 |
1.09 |
|
2011 |
1.39 |
1.46 |
0.91 |
0.31 |
1.05 |
1.07 |
|
2012 |
1.39 |
1.54 |
0.91 |
0.31 |
1.06 |
1.08 |
|
2013 |
1.11 |
1.32 |
0.89 |
0.37 |
1.00 |
1.18 |
|
2014 |
1.61 |
1.46 |
0.88 |
0.30 |
1.12 |
1.03 |
|
2015 |
1.25 |
1.39 |
0.88 |
0.22 |
0.95 |
1.04 |
|
2016 |
1.25 |
1.39 |
0.86 |
0.28 |
0.99 |
1.09 |
|
2017 |
1.39 |
1.46 |
0.90 |
0.36 |
1.07 |
1.09 |
|
2018 |
1.25 |
1.39 |
0.86 |
0.35 |
1.04 |
1.13 |
|
2019 |
1.25 |
1.46 |
0.86 |
0.27 |
1.00 |
1.09 |
Underestimated \({M/k}^{LIT}\).
lb_tableSH(freq, 2, "mm", linf=80, lmat=28, mk_ratio=0.75*2,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1988 |
1.11 |
1.11 |
0.62 |
0.00 |
0.68 |
0.84 |
|
1989 |
0.82 |
0.89 |
0.62 |
0.00 |
0.59 |
0.84 |
|
1990 |
0.75 |
0.82 |
0.53 |
0.00 |
0.50 |
0.75 |
|
1991 |
0.89 |
0.96 |
0.59 |
0.00 |
0.61 |
0.83 |
|
1992 |
0.96 |
1.11 |
0.65 |
0.00 |
0.69 |
0.92 |
|
1993 |
0.96 |
1.04 |
0.63 |
0.00 |
0.65 |
0.86 |
|
1994 |
1.04 |
1.11 |
0.69 |
0.01 |
0.69 |
0.89 |
|
1995 |
1.04 |
1.04 |
0.58 |
0.00 |
0.65 |
0.83 |
|
1996 |
0.89 |
0.96 |
0.61 |
0.00 |
0.61 |
0.84 |
|
1997 |
1.04 |
1.11 |
0.65 |
0.00 |
0.70 |
0.90 |
|
1998 |
1.11 |
1.18 |
0.67 |
0.01 |
0.73 |
0.91 |
|
1999 |
1.11 |
1.18 |
0.67 |
0.00 |
0.73 |
0.90 |
|
2000 |
0.82 |
1.04 |
0.73 |
0.02 |
0.67 |
0.96 |
|
2001 |
0.82 |
0.89 |
0.64 |
0.01 |
0.58 |
0.83 |
|
2002 |
1.11 |
1.18 |
0.75 |
0.03 |
0.75 |
0.92 |
|
2003 |
1.11 |
1.18 |
0.79 |
0.03 |
0.77 |
0.95 |
|
2004 |
1.25 |
1.32 |
0.79 |
0.04 |
0.81 |
0.94 |
|
2005 |
1.11 |
1.25 |
0.87 |
0.09 |
0.83 |
1.02 |
|
2006 |
1.18 |
1.32 |
0.85 |
0.06 |
0.80 |
0.96 |
|
2007 |
1.18 |
1.32 |
0.81 |
0.05 |
0.82 |
0.97 |
|
2008 |
1.18 |
1.32 |
0.84 |
0.09 |
0.85 |
1.01 |
|
2009 |
1.18 |
1.32 |
0.87 |
0.15 |
0.88 |
1.04 |
|
2010 |
1.54 |
1.61 |
0.91 |
0.25 |
1.03 |
1.05 |
|
2011 |
1.39 |
1.46 |
0.91 |
0.17 |
0.95 |
1.03 |
|
2012 |
1.39 |
1.54 |
0.91 |
0.18 |
0.95 |
1.03 |
|
2013 |
1.11 |
1.32 |
0.89 |
0.31 |
0.90 |
1.11 |
|
2014 |
1.61 |
1.46 |
0.88 |
0.20 |
1.01 |
1.00 |
|
2015 |
1.25 |
1.39 |
0.88 |
0.12 |
0.86 |
0.99 |
|
2016 |
1.25 |
1.39 |
0.86 |
0.16 |
0.90 |
1.03 |
|
2017 |
1.39 |
1.46 |
0.90 |
0.21 |
0.96 |
1.04 |
|
2018 |
1.25 |
1.39 |
0.86 |
0.25 |
0.93 |
1.08 |
|
2019 |
1.25 |
1.46 |
0.86 |
0.15 |
0.90 |
1.03 |
Overestimated \({M/k}^{LIT}\).
lb_tableSH(freq, 2, "mm", linf=80, lmat=28, mk_ratio=1.25*2,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1988 |
1.11 |
1.11 |
0.62 |
0.02 |
0.83 |
0.92 |
|
1989 |
0.82 |
0.89 |
0.62 |
0.03 |
0.72 |
0.97 |
|
1990 |
0.75 |
0.82 |
0.53 |
0.01 |
0.62 |
0.87 |
|
1991 |
0.89 |
0.96 |
0.59 |
0.01 |
0.74 |
0.94 |
|
1992 |
0.96 |
1.11 |
0.65 |
0.06 |
0.84 |
1.03 |
|
1993 |
0.96 |
1.04 |
0.63 |
0.03 |
0.80 |
0.97 |
|
1994 |
1.04 |
1.11 |
0.69 |
0.06 |
0.85 |
0.99 |
|
1995 |
1.04 |
1.04 |
0.58 |
0.01 |
0.79 |
0.92 |
|
1996 |
0.89 |
0.96 |
0.61 |
0.02 |
0.75 |
0.95 |
|
1997 |
1.04 |
1.11 |
0.65 |
0.05 |
0.86 |
1.00 |
|
1998 |
1.11 |
1.18 |
0.67 |
0.10 |
0.90 |
1.00 |
|
1999 |
1.11 |
1.18 |
0.67 |
0.08 |
0.89 |
0.99 |
|
2000 |
0.82 |
1.04 |
0.73 |
0.07 |
0.82 |
1.10 |
|
2001 |
0.82 |
0.89 |
0.64 |
0.03 |
0.71 |
0.95 |
|
2002 |
1.11 |
1.18 |
0.75 |
0.10 |
0.91 |
1.02 |
|
2003 |
1.11 |
1.18 |
0.79 |
0.15 |
0.94 |
1.05 |
|
2004 |
1.25 |
1.32 |
0.79 |
0.15 |
0.99 |
1.02 |
|
2005 |
1.11 |
1.25 |
0.87 |
0.29 |
1.01 |
1.13 |
|
2006 |
1.18 |
1.32 |
0.85 |
0.18 |
0.98 |
1.05 |
|
2007 |
1.18 |
1.32 |
0.81 |
0.21 |
1.00 |
1.07 |
|
2008 |
1.18 |
1.32 |
0.84 |
0.30 |
1.04 |
1.11 |
|
2009 |
1.18 |
1.32 |
0.87 |
0.39 |
1.07 |
1.15 |
|
2010 |
1.54 |
1.61 |
0.91 |
0.63 |
1.26 |
1.12 |
|
2011 |
1.39 |
1.46 |
0.91 |
0.44 |
1.16 |
1.10 |
|
2012 |
1.39 |
1.54 |
0.91 |
0.48 |
1.17 |
1.11 |
|
2013 |
1.11 |
1.32 |
0.89 |
0.45 |
1.10 |
1.23 |
|
2014 |
1.61 |
1.46 |
0.88 |
0.48 |
1.23 |
1.06 |
|
2015 |
1.25 |
1.39 |
0.88 |
0.28 |
1.05 |
1.08 |
|
2016 |
1.25 |
1.39 |
0.86 |
0.40 |
1.09 |
1.12 |
|
2017 |
1.39 |
1.46 |
0.90 |
0.50 |
1.18 |
1.12 |
|
2018 |
1.25 |
1.39 |
0.86 |
0.44 |
1.14 |
1.17 |
|
2019 |
1.25 |
1.46 |
0.86 |
0.42 |
1.09 |
1.12 |
M/k=1.5.
lb_tableSH(freq, 2, "mm", linf=80, lmat=28, mk_ratio=1.5,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1988 |
1.11 |
1.11 |
0.62 |
0.00 |
0.68 |
0.84 |
|
1989 |
0.82 |
0.89 |
0.62 |
0.00 |
0.59 |
0.84 |
|
1990 |
0.75 |
0.82 |
0.53 |
0.00 |
0.50 |
0.75 |
|
1991 |
0.89 |
0.96 |
0.59 |
0.00 |
0.61 |
0.83 |
|
1992 |
0.96 |
1.11 |
0.65 |
0.00 |
0.69 |
0.92 |
|
1993 |
0.96 |
1.04 |
0.63 |
0.00 |
0.65 |
0.86 |
|
1994 |
1.04 |
1.11 |
0.69 |
0.01 |
0.69 |
0.89 |
|
1995 |
1.04 |
1.04 |
0.58 |
0.00 |
0.65 |
0.83 |
|
1996 |
0.89 |
0.96 |
0.61 |
0.00 |
0.61 |
0.84 |
|
1997 |
1.04 |
1.11 |
0.65 |
0.00 |
0.70 |
0.90 |
|
1998 |
1.11 |
1.18 |
0.67 |
0.01 |
0.73 |
0.91 |
|
1999 |
1.11 |
1.18 |
0.67 |
0.00 |
0.73 |
0.90 |
|
2000 |
0.82 |
1.04 |
0.73 |
0.02 |
0.67 |
0.96 |
|
2001 |
0.82 |
0.89 |
0.64 |
0.01 |
0.58 |
0.83 |
|
2002 |
1.11 |
1.18 |
0.75 |
0.03 |
0.75 |
0.92 |
|
2003 |
1.11 |
1.18 |
0.79 |
0.03 |
0.77 |
0.95 |
|
2004 |
1.25 |
1.32 |
0.79 |
0.04 |
0.81 |
0.94 |
|
2005 |
1.11 |
1.25 |
0.87 |
0.09 |
0.83 |
1.02 |
|
2006 |
1.18 |
1.32 |
0.85 |
0.06 |
0.80 |
0.96 |
|
2007 |
1.18 |
1.32 |
0.81 |
0.05 |
0.82 |
0.97 |
|
2008 |
1.18 |
1.32 |
0.84 |
0.09 |
0.85 |
1.01 |
|
2009 |
1.18 |
1.32 |
0.87 |
0.15 |
0.88 |
1.04 |
|
2010 |
1.54 |
1.61 |
0.91 |
0.25 |
1.03 |
1.05 |
|
2011 |
1.39 |
1.46 |
0.91 |
0.17 |
0.95 |
1.03 |
|
2012 |
1.39 |
1.54 |
0.91 |
0.18 |
0.95 |
1.03 |
|
2013 |
1.11 |
1.32 |
0.89 |
0.31 |
0.90 |
1.11 |
|
2014 |
1.61 |
1.46 |
0.88 |
0.20 |
1.01 |
1.00 |
|
2015 |
1.25 |
1.39 |
0.88 |
0.12 |
0.86 |
0.99 |
|
2016 |
1.25 |
1.39 |
0.86 |
0.16 |
0.90 |
1.03 |
|
2017 |
1.39 |
1.46 |
0.90 |
0.21 |
0.96 |
1.04 |
|
2018 |
1.25 |
1.39 |
0.86 |
0.25 |
0.93 |
1.08 |
|
2019 |
1.25 |
1.46 |
0.86 |
0.15 |
0.90 |
1.03 |
Underestimated \(L_{inf}^{LIT}\).
lb_tableSH(freq, 2, "mm", linf=0.75*80, lmat=28, mk_ratio=2,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1988 |
1.11 |
1.11 |
0.82 |
0.14 |
1.00 |
0.98 |
|
1989 |
0.82 |
0.89 |
0.83 |
0.11 |
0.87 |
1.03 |
|
1990 |
0.75 |
0.82 |
0.71 |
0.03 |
0.75 |
0.93 |
|
1991 |
0.89 |
0.96 |
0.78 |
0.09 |
0.90 |
1.01 |
|
1992 |
0.96 |
1.11 |
0.87 |
0.30 |
1.02 |
1.10 |
|
1993 |
0.96 |
1.04 |
0.84 |
0.18 |
0.97 |
1.03 |
|
1994 |
1.04 |
1.11 |
0.91 |
0.24 |
1.03 |
1.05 |
|
1995 |
1.04 |
1.04 |
0.78 |
0.12 |
0.96 |
0.98 |
|
1996 |
0.89 |
0.96 |
0.81 |
0.13 |
0.90 |
1.02 |
|
1997 |
1.04 |
1.11 |
0.87 |
0.31 |
1.04 |
1.06 |
|
1998 |
1.11 |
1.18 |
0.90 |
0.36 |
1.09 |
1.06 |
|
1999 |
1.11 |
1.18 |
0.89 |
0.32 |
1.08 |
1.05 |
|
2000 |
0.82 |
1.04 |
0.98 |
0.23 |
0.99 |
1.17 |
|
2001 |
0.82 |
0.89 |
0.86 |
0.10 |
0.86 |
1.02 |
|
2002 |
1.11 |
1.18 |
1.00 |
0.36 |
1.11 |
1.08 |
|
2003 |
1.11 |
1.18 |
1.05 |
0.39 |
1.14 |
1.12 |
|
2004 |
1.25 |
1.32 |
1.06 |
0.55 |
1.21 |
1.09 |
|
2005 |
1.11 |
1.25 |
1.16 |
0.56 |
1.22 |
1.20 |
|
2006 |
1.18 |
1.32 |
1.13 |
0.52 |
1.19 |
1.12 |
|
2007 |
1.18 |
1.32 |
1.08 |
0.62 |
1.21 |
1.13 |
|
2008 |
1.18 |
1.32 |
1.12 |
0.63 |
1.26 |
1.18 |
|
2009 |
1.18 |
1.32 |
1.16 |
0.67 |
1.30 |
1.22 |
|
2010 |
1.54 |
1.61 |
1.21 |
0.86 |
1.53 |
1.18 |
|
2011 |
1.39 |
1.46 |
1.21 |
0.81 |
1.40 |
1.17 |
|
2012 |
1.39 |
1.54 |
1.21 |
0.82 |
1.41 |
1.18 |
|
2013 |
1.11 |
1.32 |
1.19 |
0.61 |
1.34 |
1.31 |
|
2014 |
1.61 |
1.46 |
1.17 |
0.77 |
1.49 |
1.12 |
|
2015 |
1.25 |
1.39 |
1.17 |
0.69 |
1.27 |
1.14 |
|
2016 |
1.25 |
1.39 |
1.15 |
0.74 |
1.33 |
1.19 |
|
2017 |
1.39 |
1.46 |
1.20 |
0.84 |
1.43 |
1.19 |
|
2018 |
1.25 |
1.39 |
1.15 |
0.72 |
1.38 |
1.25 |
|
2019 |
1.25 |
1.46 |
1.14 |
0.76 |
1.33 |
1.19 |
Overestimated \(L_{inf}^{LIT}\).
lb_tableSH(freq, 2, "mm", linf=1.25*80, lmat=28, mk_ratio=2,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1988 |
1.11 |
1.11 |
0.49 |
0.00 |
0.60 |
0.81 |
|
1989 |
0.82 |
0.89 |
0.50 |
0.00 |
0.52 |
0.82 |
|
1990 |
0.75 |
0.82 |
0.42 |
0.00 |
0.45 |
0.73 |
|
1991 |
0.89 |
0.96 |
0.47 |
0.00 |
0.54 |
0.81 |
|
1992 |
0.96 |
1.11 |
0.52 |
0.00 |
0.61 |
0.89 |
|
1993 |
0.96 |
1.04 |
0.51 |
0.00 |
0.58 |
0.84 |
|
1994 |
1.04 |
1.11 |
0.55 |
0.00 |
0.62 |
0.86 |
|
1995 |
1.04 |
1.04 |
0.47 |
0.00 |
0.58 |
0.80 |
|
1996 |
0.89 |
0.96 |
0.49 |
0.00 |
0.54 |
0.81 |
|
1997 |
1.04 |
1.11 |
0.52 |
0.00 |
0.62 |
0.87 |
|
1998 |
1.11 |
1.18 |
0.54 |
0.00 |
0.65 |
0.87 |
|
1999 |
1.11 |
1.18 |
0.54 |
0.00 |
0.65 |
0.86 |
|
2000 |
0.82 |
1.04 |
0.59 |
0.01 |
0.59 |
0.93 |
|
2001 |
0.82 |
0.89 |
0.52 |
0.00 |
0.52 |
0.81 |
|
2002 |
1.11 |
1.18 |
0.60 |
0.01 |
0.66 |
0.89 |
|
2003 |
1.11 |
1.18 |
0.63 |
0.02 |
0.69 |
0.92 |
|
2004 |
1.25 |
1.32 |
0.64 |
0.01 |
0.72 |
0.90 |
|
2005 |
1.11 |
1.25 |
0.70 |
0.04 |
0.73 |
0.98 |
|
2006 |
1.18 |
1.32 |
0.68 |
0.03 |
0.71 |
0.92 |
|
2007 |
1.18 |
1.32 |
0.65 |
0.02 |
0.73 |
0.94 |
|
2008 |
1.18 |
1.32 |
0.67 |
0.03 |
0.75 |
0.98 |
|
2009 |
1.18 |
1.32 |
0.70 |
0.04 |
0.78 |
1.01 |
|
2010 |
1.54 |
1.61 |
0.73 |
0.10 |
0.92 |
1.01 |
|
2011 |
1.39 |
1.46 |
0.73 |
0.07 |
0.84 |
0.99 |
|
2012 |
1.39 |
1.54 |
0.73 |
0.10 |
0.85 |
0.99 |
|
2013 |
1.11 |
1.32 |
0.71 |
0.08 |
0.80 |
1.07 |
|
2014 |
1.61 |
1.46 |
0.70 |
0.04 |
0.89 |
0.96 |
|
2015 |
1.25 |
1.39 |
0.70 |
0.04 |
0.76 |
0.95 |
|
2016 |
1.25 |
1.39 |
0.69 |
0.05 |
0.80 |
0.99 |
|
2017 |
1.39 |
1.46 |
0.72 |
0.09 |
0.86 |
1.00 |
|
2018 |
1.25 |
1.39 |
0.69 |
0.08 |
0.83 |
1.04 |
|
2019 |
1.25 |
1.46 |
0.69 |
0.04 |
0.80 |
1.00 |
2.2 Nephrops norvegicus FU2627 Females
Life history parameters:
\(L_{mat}\) = 26.0 mm. \(L_{inf}^{LIT}\) = 65.0 mm. \({M/k}^{LIT}\) = 2.5
Below, catch/landings at length per year and mean weights-at-length per year are loaded.
wal <- read.csv("FU2627_PesosFemales_1988_2019_medio.csv", stringsAsFactors = FALSE)
freq <- read.csv("FU2627_tallasFemales_1988_2019.csv", stringsAsFactors = FALSE)
head(freq)## talla X1988 X1989 X1990 X1991 X1992 X1993 X1994 X1995 X1996 X1997 X1998
## 1 12.5 0 0 0 0 0 0 0 0 0 0 0
## 2 13.5 0 4239 15172 0 0 0 0 0 0 0 0
## 3 14.5 0 2474 25480 0 0 0 0 0 0 0 0
## 4 15.5 0 108363 61013 1795 0 0 0 0 0 0 0
## 5 16.5 0 113495 254545 9073 0 0 0 0 0 0 0
## 6 17.5 0 34688 529385 11820 0 0 2730 0 0 0 0
## X1999 X2000 X2001 X2002 X2003 X2004 X2005 X2006 X2007 X2008 X2009 X2010 X2011
## 1 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5 0 3063 13552 0 0 0 0 0 0 0 0 0 0
## 6 0 3063 11684 0 0 0 0 0 0 0 0 0 0
## X2012 X2013 X2014 X2015 X2016 X2017 X2018 X2019
## 1 0 0 0 0 0 0 0 0
## 2 0 0 0 0 0 0 0 0
## 3 0 0 0 0 0 0 0 0
## 4 0 0 0 0 0 0 0 0
## 5 0 0 0 0 0 0 0 0
## 6 0 0 0 0 0 0 0 0head(wal)## talla X1988 X1989 X1990 X1991 X1992 X1993 X1994 X1995
## 1 12.5 1.258068 1.258068 1.258068 1.258068 1.258068 1.258068 1.258068 1.258068
## 2 13.5 1.604439 1.604439 1.604439 1.604439 1.604439 1.604439 1.604439 1.604439
## 3 14.5 2.010904 2.010904 2.010904 2.010904 2.010904 2.010904 2.010904 2.010904
## 4 15.5 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656
## 5 16.5 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947
## 6 17.5 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080
## X1996 X1997 X1998 X1999 X2000 X2001 X2002 X2003
## 1 1.258068 1.258068 1.258068 1.258068 1.258068 1.258068 1.258068 1.258068
## 2 1.604439 1.604439 1.604439 1.604439 1.604439 1.604439 1.604439 1.604439
## 3 2.010904 2.010904 2.010904 2.010904 2.010904 2.010904 2.010904 2.010904
## 4 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656
## 5 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947
## 6 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080
## X2004 X2005 X2006 X2007 X2008 X2009 X2010 X2011
## 1 1.258068 1.258068 1.258068 1.258068 1.258068 1.258068 1.258068 1.258068
## 2 1.604439 1.604439 1.604439 1.604439 1.604439 1.604439 1.604439 1.604439
## 3 2.010904 2.010904 2.010904 2.010904 2.010904 2.010904 2.010904 2.010904
## 4 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656
## 5 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947
## 6 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080
## X2012 X2013 X2014 X2015 X2016 X2017 X2018 X2019
## 1 1.258068 1.258068 1.258068 1.258068 1.258068 1.258068 1.258068 1.258068
## 2 1.604439 1.604439 1.604439 1.604439 1.604439 1.604439 1.604439 1.604439
## 3 2.010904 2.010904 2.010904 2.010904 2.010904 2.010904 2.010904 2.010904
## 4 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656 2.482656
## 5 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947 3.024947
## 6 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080 3.643080bin_plot(freq, 1, "cm")
bin_plot(freq, 2, "cm")
On based on the previous plots of the length distribution BinWidth is fixed equal to 2.
Reference model:
lb_tableSH(freq, 2, "mm", linf=65, lmat=26, mk_ratio=2.5,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1988 |
1.12 |
1.12 |
0.68 |
0.14 |
0.96 |
0.97 |
|
1989 |
0.81 |
0.88 |
0.68 |
0.08 |
0.82 |
1.03 |
|
1990 |
0.81 |
0.81 |
0.60 |
0.02 |
0.73 |
0.91 |
|
1991 |
0.96 |
1.04 |
0.69 |
0.09 |
0.87 |
0.98 |
|
1992 |
1.04 |
1.12 |
0.72 |
0.16 |
0.96 |
1.02 |
|
1993 |
1.04 |
1.12 |
0.71 |
0.18 |
0.95 |
1.01 |
|
1994 |
1.12 |
1.19 |
0.74 |
0.25 |
1.00 |
1.02 |
|
1995 |
1.04 |
1.12 |
0.68 |
0.11 |
0.93 |
0.98 |
|
1996 |
0.96 |
1.04 |
0.71 |
0.14 |
0.90 |
1.01 |
|
1997 |
1.19 |
1.19 |
0.77 |
0.29 |
1.04 |
1.00 |
|
1998 |
1.19 |
1.27 |
0.80 |
0.43 |
1.09 |
1.05 |
|
1999 |
1.19 |
1.27 |
0.79 |
0.47 |
1.10 |
1.06 |
|
2000 |
0.81 |
1.04 |
0.73 |
0.21 |
0.91 |
1.14 |
|
2001 |
0.81 |
0.88 |
0.70 |
0.09 |
0.81 |
1.01 |
|
2002 |
1.04 |
1.19 |
0.81 |
0.39 |
1.04 |
1.11 |
|
2003 |
1.19 |
1.19 |
0.76 |
0.29 |
1.05 |
1.01 |
|
2004 |
1.27 |
1.35 |
0.81 |
0.58 |
1.15 |
1.06 |
|
2005 |
1.12 |
1.27 |
0.85 |
0.51 |
1.11 |
1.12 |
|
2006 |
1.27 |
1.35 |
0.83 |
0.52 |
1.12 |
1.04 |
|
2007 |
1.27 |
1.35 |
0.83 |
0.45 |
1.11 |
1.02 |
|
2008 |
1.27 |
1.27 |
0.78 |
0.45 |
1.11 |
1.02 |
|
2009 |
1.12 |
1.35 |
0.86 |
0.52 |
1.10 |
1.12 |
|
2010 |
1.42 |
1.50 |
0.90 |
0.80 |
1.26 |
1.08 |
|
2011 |
1.35 |
1.50 |
0.90 |
0.78 |
1.25 |
1.11 |
|
2012 |
1.50 |
1.50 |
0.89 |
0.76 |
1.26 |
1.03 |
|
2013 |
1.35 |
1.42 |
0.94 |
0.74 |
1.28 |
1.14 |
|
2014 |
1.19 |
1.35 |
0.89 |
0.60 |
1.18 |
1.14 |
|
2015 |
1.27 |
1.35 |
0.86 |
0.62 |
1.15 |
1.06 |
|
2016 |
1.19 |
1.27 |
0.85 |
0.53 |
1.13 |
1.09 |
|
2017 |
1.42 |
1.50 |
1.01 |
0.83 |
1.32 |
1.12 |
|
2018 |
1.19 |
1.35 |
0.86 |
0.51 |
1.13 |
1.09 |
|
2019 |
1.19 |
1.42 |
0.88 |
0.71 |
1.20 |
1.16 |
Underestimated \({M/k}^{LIT}\).
lb_tableSH(freq, 2, "mm", linf=65, lmat=26, mk_ratio=0.75*2.5,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1988 |
1.12 |
1.12 |
0.68 |
0.02 |
0.85 |
0.93 |
|
1989 |
0.81 |
0.88 |
0.68 |
0.02 |
0.73 |
0.96 |
|
1990 |
0.81 |
0.81 |
0.60 |
0.01 |
0.65 |
0.86 |
|
1991 |
0.96 |
1.04 |
0.69 |
0.02 |
0.77 |
0.93 |
|
1992 |
1.04 |
1.12 |
0.72 |
0.05 |
0.85 |
0.97 |
|
1993 |
1.04 |
1.12 |
0.71 |
0.04 |
0.85 |
0.97 |
|
1994 |
1.12 |
1.19 |
0.74 |
0.05 |
0.89 |
0.97 |
|
1995 |
1.04 |
1.12 |
0.68 |
0.02 |
0.82 |
0.94 |
|
1996 |
0.96 |
1.04 |
0.71 |
0.03 |
0.80 |
0.95 |
|
1997 |
1.19 |
1.19 |
0.77 |
0.10 |
0.92 |
0.96 |
|
1998 |
1.19 |
1.27 |
0.80 |
0.16 |
0.96 |
1.01 |
|
1999 |
1.19 |
1.27 |
0.79 |
0.18 |
0.97 |
1.02 |
|
2000 |
0.81 |
1.04 |
0.73 |
0.05 |
0.81 |
1.07 |
|
2001 |
0.81 |
0.88 |
0.70 |
0.03 |
0.71 |
0.94 |
|
2002 |
1.04 |
1.19 |
0.81 |
0.14 |
0.92 |
1.05 |
|
2003 |
1.19 |
1.19 |
0.76 |
0.08 |
0.93 |
0.97 |
|
2004 |
1.27 |
1.35 |
0.81 |
0.22 |
1.02 |
1.02 |
|
2005 |
1.12 |
1.27 |
0.85 |
0.25 |
0.98 |
1.07 |
|
2006 |
1.27 |
1.35 |
0.83 |
0.16 |
1.00 |
1.00 |
|
2007 |
1.27 |
1.35 |
0.83 |
0.16 |
0.98 |
0.99 |
|
2008 |
1.27 |
1.27 |
0.78 |
0.16 |
0.98 |
0.99 |
|
2009 |
1.12 |
1.35 |
0.86 |
0.22 |
0.98 |
1.07 |
|
2010 |
1.42 |
1.50 |
0.90 |
0.47 |
1.12 |
1.04 |
|
2011 |
1.35 |
1.50 |
0.90 |
0.46 |
1.11 |
1.07 |
|
2012 |
1.50 |
1.50 |
0.89 |
0.31 |
1.12 |
1.01 |
|
2013 |
1.35 |
1.42 |
0.94 |
0.39 |
1.14 |
1.10 |
|
2014 |
1.19 |
1.35 |
0.89 |
0.37 |
1.05 |
1.10 |
|
2015 |
1.27 |
1.35 |
0.86 |
0.21 |
1.02 |
1.02 |
|
2016 |
1.19 |
1.27 |
0.85 |
0.30 |
1.00 |
1.05 |
|
2017 |
1.42 |
1.50 |
1.01 |
0.53 |
1.17 |
1.09 |
|
2018 |
1.19 |
1.35 |
0.86 |
0.29 |
1.00 |
1.05 |
|
2019 |
1.19 |
1.42 |
0.88 |
0.43 |
1.06 |
1.11 |
Overestimated \({M/k}^{LIT}\).
lb_tableSH(freq, 2, "mm", linf=65, lmat=26, mk_ratio=1.25*2.5,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1988 |
1.12 |
1.12 |
0.68 |
0.23 |
1.07 |
1.00 |
|
1989 |
0.81 |
0.88 |
0.68 |
0.12 |
0.91 |
1.08 |
|
1990 |
0.81 |
0.81 |
0.60 |
0.04 |
0.81 |
0.96 |
|
1991 |
0.96 |
1.04 |
0.69 |
0.13 |
0.97 |
1.01 |
|
1992 |
1.04 |
1.12 |
0.72 |
0.24 |
1.06 |
1.05 |
|
1993 |
1.04 |
1.12 |
0.71 |
0.27 |
1.06 |
1.05 |
|
1994 |
1.12 |
1.19 |
0.74 |
0.35 |
1.12 |
1.05 |
|
1995 |
1.04 |
1.12 |
0.68 |
0.18 |
1.03 |
1.02 |
|
1996 |
0.96 |
1.04 |
0.71 |
0.21 |
1.00 |
1.04 |
|
1997 |
1.19 |
1.19 |
0.77 |
0.38 |
1.15 |
1.03 |
|
1998 |
1.19 |
1.27 |
0.80 |
0.56 |
1.21 |
1.08 |
|
1999 |
1.19 |
1.27 |
0.79 |
0.61 |
1.22 |
1.09 |
|
2000 |
0.81 |
1.04 |
0.73 |
0.29 |
1.02 |
1.20 |
|
2001 |
0.81 |
0.88 |
0.70 |
0.13 |
0.90 |
1.06 |
|
2002 |
1.04 |
1.19 |
0.81 |
0.48 |
1.16 |
1.14 |
|
2003 |
1.19 |
1.19 |
0.76 |
0.44 |
1.16 |
1.04 |
|
2004 |
1.27 |
1.35 |
0.81 |
0.70 |
1.28 |
1.09 |
|
2005 |
1.12 |
1.27 |
0.85 |
0.60 |
1.23 |
1.16 |
|
2006 |
1.27 |
1.35 |
0.83 |
0.65 |
1.25 |
1.07 |
|
2007 |
1.27 |
1.35 |
0.83 |
0.60 |
1.23 |
1.05 |
|
2008 |
1.27 |
1.27 |
0.78 |
0.58 |
1.23 |
1.05 |
|
2009 |
1.12 |
1.35 |
0.86 |
0.63 |
1.23 |
1.15 |
|
2010 |
1.42 |
1.50 |
0.90 |
0.88 |
1.41 |
1.10 |
|
2011 |
1.35 |
1.50 |
0.90 |
0.84 |
1.39 |
1.13 |
|
2012 |
1.50 |
1.50 |
0.89 |
0.82 |
1.41 |
1.05 |
|
2013 |
1.35 |
1.42 |
0.94 |
0.79 |
1.43 |
1.16 |
|
2014 |
1.19 |
1.35 |
0.89 |
0.66 |
1.32 |
1.18 |
|
2015 |
1.27 |
1.35 |
0.86 |
0.74 |
1.28 |
1.09 |
|
2016 |
1.19 |
1.27 |
0.85 |
0.60 |
1.26 |
1.12 |
|
2017 |
1.42 |
1.50 |
1.01 |
0.90 |
1.47 |
1.14 |
|
2018 |
1.19 |
1.35 |
0.86 |
0.60 |
1.26 |
1.12 |
|
2019 |
1.19 |
1.42 |
0.88 |
0.81 |
1.33 |
1.19 |
M/k=1.5.
lb_tableSH(freq, 2, "mm", linf=65, lmat=26, mk_ratio=1.5,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1988 |
1.12 |
1.12 |
0.68 |
0.01 |
0.78 |
0.89 |
|
1989 |
0.81 |
0.88 |
0.68 |
0.01 |
0.67 |
0.91 |
|
1990 |
0.81 |
0.81 |
0.60 |
0.00 |
0.60 |
0.81 |
|
1991 |
0.96 |
1.04 |
0.69 |
0.01 |
0.71 |
0.88 |
|
1992 |
1.04 |
1.12 |
0.72 |
0.01 |
0.78 |
0.93 |
|
1993 |
1.04 |
1.12 |
0.71 |
0.01 |
0.78 |
0.93 |
|
1994 |
1.12 |
1.19 |
0.74 |
0.02 |
0.82 |
0.94 |
|
1995 |
1.04 |
1.12 |
0.68 |
0.00 |
0.76 |
0.90 |
|
1996 |
0.96 |
1.04 |
0.71 |
0.01 |
0.74 |
0.91 |
|
1997 |
1.19 |
1.19 |
0.77 |
0.03 |
0.85 |
0.93 |
|
1998 |
1.19 |
1.27 |
0.80 |
0.06 |
0.89 |
0.97 |
|
1999 |
1.19 |
1.27 |
0.79 |
0.06 |
0.90 |
0.98 |
|
2000 |
0.81 |
1.04 |
0.73 |
0.02 |
0.75 |
1.01 |
|
2001 |
0.81 |
0.88 |
0.70 |
0.01 |
0.66 |
0.89 |
|
2002 |
1.04 |
1.19 |
0.81 |
0.06 |
0.85 |
1.01 |
|
2003 |
1.19 |
1.19 |
0.76 |
0.02 |
0.86 |
0.94 |
|
2004 |
1.27 |
1.35 |
0.81 |
0.07 |
0.94 |
0.99 |
|
2005 |
1.12 |
1.27 |
0.85 |
0.11 |
0.91 |
1.03 |
|
2006 |
1.27 |
1.35 |
0.83 |
0.08 |
0.92 |
0.97 |
|
2007 |
1.27 |
1.35 |
0.83 |
0.06 |
0.90 |
0.96 |
|
2008 |
1.27 |
1.27 |
0.78 |
0.04 |
0.90 |
0.96 |
|
2009 |
1.12 |
1.35 |
0.86 |
0.11 |
0.90 |
1.03 |
|
2010 |
1.42 |
1.50 |
0.90 |
0.21 |
1.03 |
1.02 |
|
2011 |
1.35 |
1.50 |
0.90 |
0.25 |
1.02 |
1.04 |
|
2012 |
1.50 |
1.50 |
0.89 |
0.20 |
1.03 |
0.99 |
|
2013 |
1.35 |
1.42 |
0.94 |
0.32 |
1.05 |
1.07 |
|
2014 |
1.19 |
1.35 |
0.89 |
0.22 |
0.97 |
1.06 |
|
2015 |
1.27 |
1.35 |
0.86 |
0.09 |
0.94 |
0.99 |
|
2016 |
1.19 |
1.27 |
0.85 |
0.16 |
0.93 |
1.01 |
|
2017 |
1.42 |
1.50 |
1.01 |
0.32 |
1.08 |
1.06 |
|
2018 |
1.19 |
1.35 |
0.86 |
0.12 |
0.93 |
1.02 |
|
2019 |
1.19 |
1.42 |
0.88 |
0.19 |
0.98 |
1.07 |
Underestimated \(L_{inf}^{LIT}\).
lb_tableSH(freq, 2, "mm", linf=0.75*65, lmat=26, mk_ratio=2.5,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1988 |
1.12 |
1.12 |
0.91 |
0.70 |
1.28 |
1.05 |
|
1989 |
0.81 |
0.88 |
0.90 |
0.37 |
1.10 |
1.14 |
|
1990 |
0.81 |
0.81 |
0.79 |
0.14 |
0.97 |
1.01 |
|
1991 |
0.96 |
1.04 |
0.92 |
0.43 |
1.16 |
1.07 |
|
1992 |
1.04 |
1.12 |
0.96 |
0.72 |
1.27 |
1.11 |
|
1993 |
1.04 |
1.12 |
0.95 |
0.68 |
1.27 |
1.10 |
|
1994 |
1.12 |
1.19 |
0.98 |
0.79 |
1.34 |
1.10 |
|
1995 |
1.04 |
1.12 |
0.91 |
0.65 |
1.23 |
1.07 |
|
1996 |
0.96 |
1.04 |
0.94 |
0.51 |
1.20 |
1.10 |
|
1997 |
1.19 |
1.19 |
1.02 |
0.86 |
1.38 |
1.08 |
|
1998 |
1.19 |
1.27 |
1.07 |
0.93 |
1.45 |
1.13 |
|
1999 |
1.19 |
1.27 |
1.06 |
0.94 |
1.46 |
1.15 |
|
2000 |
0.81 |
1.04 |
0.97 |
0.61 |
1.22 |
1.26 |
|
2001 |
0.81 |
0.88 |
0.93 |
0.31 |
1.07 |
1.11 |
|
2002 |
1.04 |
1.19 |
1.07 |
0.80 |
1.39 |
1.20 |
|
2003 |
1.19 |
1.19 |
1.01 |
0.80 |
1.39 |
1.09 |
|
2004 |
1.27 |
1.35 |
1.07 |
0.94 |
1.53 |
1.14 |
|
2005 |
1.12 |
1.27 |
1.13 |
0.90 |
1.48 |
1.22 |
|
2006 |
1.27 |
1.35 |
1.11 |
0.96 |
1.50 |
1.12 |
|
2007 |
1.27 |
1.35 |
1.10 |
0.96 |
1.47 |
1.10 |
|
2008 |
1.27 |
1.27 |
1.03 |
0.94 |
1.47 |
1.10 |
|
2009 |
1.12 |
1.35 |
1.15 |
0.90 |
1.47 |
1.21 |
|
2010 |
1.42 |
1.50 |
1.20 |
0.99 |
1.69 |
1.15 |
|
2011 |
1.35 |
1.50 |
1.21 |
1.00 |
1.67 |
1.19 |
|
2012 |
1.50 |
1.50 |
1.19 |
0.99 |
1.69 |
1.10 |
|
2013 |
1.35 |
1.42 |
1.26 |
0.99 |
1.71 |
1.22 |
|
2014 |
1.19 |
1.35 |
1.19 |
0.93 |
1.58 |
1.24 |
|
2015 |
1.27 |
1.35 |
1.15 |
0.98 |
1.53 |
1.14 |
|
2016 |
1.19 |
1.27 |
1.13 |
0.92 |
1.51 |
1.18 |
|
2017 |
1.42 |
1.50 |
1.35 |
1.00 |
1.76 |
1.20 |
|
2018 |
1.19 |
1.35 |
1.14 |
0.95 |
1.51 |
1.18 |
|
2019 |
1.19 |
1.42 |
1.17 |
0.99 |
1.59 |
1.25 |
Overestimated \(L_{inf}^{LIT}\).
lb_tableSH(freq, 2, "mm", linf=1.25*65, lmat=26, mk_ratio=2.5,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1988 |
1.12 |
1.12 |
0.55 |
0.01 |
0.77 |
0.90 |
|
1989 |
0.81 |
0.88 |
0.54 |
0.01 |
0.66 |
0.94 |
|
1990 |
0.81 |
0.81 |
0.48 |
0.00 |
0.58 |
0.83 |
|
1991 |
0.96 |
1.04 |
0.55 |
0.01 |
0.70 |
0.90 |
|
1992 |
1.04 |
1.12 |
0.58 |
0.01 |
0.76 |
0.94 |
|
1993 |
1.04 |
1.12 |
0.57 |
0.01 |
0.76 |
0.94 |
|
1994 |
1.12 |
1.19 |
0.59 |
0.02 |
0.80 |
0.94 |
|
1995 |
1.04 |
1.12 |
0.55 |
0.00 |
0.74 |
0.91 |
|
1996 |
0.96 |
1.04 |
0.57 |
0.01 |
0.72 |
0.93 |
|
1997 |
1.19 |
1.19 |
0.61 |
0.03 |
0.83 |
0.93 |
|
1998 |
1.19 |
1.27 |
0.64 |
0.06 |
0.87 |
0.98 |
|
1999 |
1.19 |
1.27 |
0.64 |
0.06 |
0.88 |
0.99 |
|
2000 |
0.81 |
1.04 |
0.58 |
0.02 |
0.73 |
1.04 |
|
2001 |
0.81 |
0.88 |
0.56 |
0.01 |
0.64 |
0.92 |
|
2002 |
1.04 |
1.19 |
0.64 |
0.06 |
0.83 |
1.02 |
|
2003 |
1.19 |
1.19 |
0.61 |
0.02 |
0.84 |
0.94 |
|
2004 |
1.27 |
1.35 |
0.64 |
0.07 |
0.92 |
0.99 |
|
2005 |
1.12 |
1.27 |
0.68 |
0.11 |
0.89 |
1.04 |
|
2006 |
1.27 |
1.35 |
0.66 |
0.08 |
0.90 |
0.97 |
|
2007 |
1.27 |
1.35 |
0.66 |
0.06 |
0.88 |
0.95 |
|
2008 |
1.27 |
1.27 |
0.62 |
0.04 |
0.88 |
0.95 |
|
2009 |
1.12 |
1.35 |
0.69 |
0.11 |
0.88 |
1.04 |
|
2010 |
1.42 |
1.50 |
0.72 |
0.21 |
1.01 |
1.01 |
|
2011 |
1.35 |
1.50 |
0.72 |
0.25 |
1.00 |
1.04 |
|
2012 |
1.50 |
1.50 |
0.71 |
0.20 |
1.01 |
0.97 |
|
2013 |
1.35 |
1.42 |
0.75 |
0.32 |
1.02 |
1.06 |
|
2014 |
1.19 |
1.35 |
0.71 |
0.22 |
0.95 |
1.07 |
|
2015 |
1.27 |
1.35 |
0.69 |
0.09 |
0.92 |
0.99 |
|
2016 |
1.19 |
1.27 |
0.68 |
0.16 |
0.90 |
1.02 |
|
2017 |
1.42 |
1.50 |
0.81 |
0.32 |
1.06 |
1.05 |
|
2018 |
1.19 |
1.35 |
0.68 |
0.12 |
0.91 |
1.02 |
|
2019 |
1.19 |
1.42 |
0.70 |
0.19 |
0.96 |
1.08 |
3 Galeus melastomus
Life history parameters:
\(L_{mat}\) = 54.2 cm. \(L_{inf}^{LIT}\) = 75.0 cm. \({M/k}^{LIT}\) = 1.5.
Below, catch/landings at length per year and mean weights-at-length per year are loaded.
wal <- read.csv("Pin8c9awal.csv",sep=",")
head(wal)## MeanLength X2014 X2015 X2016 X2017 X2018 X2019
## 1 20.5 23.2 23.2 23.2 23.2 23.2 23.2
## 2 21.5 26.9 26.9 26.9 26.9 26.9 26.9
## 3 22.5 31.0 31.0 31.0 31.0 31.0 31.0
## 4 23.5 35.5 35.5 35.5 35.5 35.5 35.5
## 5 24.5 40.4 40.4 40.4 40.4 40.4 40.4
## 6 25.5 45.7 45.7 45.7 45.7 45.7 45.7freq <- read.csv("Pin8c9afreq.csv", stringsAsFactors = FALSE)
head(freq)## MeanLength X2014 X2015 X2016 X2017 X2018 X2019
## 1 20.5 0 0 0 0 0 0
## 2 21.5 0 0 0 0 0 0
## 3 22.5 0 0 0 0 0 0
## 4 23.5 0 0 0 0 0 0
## 5 24.5 0 0 0 0 0 0
## 6 25.5 0 0 0 0 0 0bin_plot(freq, 1, "cm")
bin_plot(freq, 2, "cm")
On based on the previous plots of the length distribution BinWidth is fixed equal to 1.
Reference model:
lb_tableSH(freq, 2, "cm", linf=75.0, lmat=54.2, mk_ratio=1.5,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
2014 |
0.90 |
0.94 |
0.82 |
0.37 |
1.07 |
0.96 |
|
2015 |
0.90 |
0.90 |
0.83 |
0.36 |
1.08 |
0.97 |
|
2016 |
0.94 |
0.94 |
0.87 |
0.45 |
1.10 |
0.97 |
|
2017 |
0.90 |
0.90 |
0.83 |
0.29 |
1.07 |
0.96 |
|
2018 |
0.90 |
0.90 |
0.83 |
0.30 |
1.07 |
0.96 |
|
2019 |
0.90 |
0.90 |
0.82 |
0.30 |
1.06 |
0.96 |
Underestimated \({M/k}^{LIT}\).
lb_tableSH(freq, 2, "cm", linf=75.0, lmat=54.2, mk_ratio=0.75*1.5,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
2014 |
0.90 |
0.94 |
0.82 |
0.03 |
0.98 |
0.94 |
|
2015 |
0.90 |
0.90 |
0.83 |
0.05 |
0.99 |
0.94 |
|
2016 |
0.94 |
0.94 |
0.87 |
0.09 |
1.01 |
0.94 |
|
2017 |
0.90 |
0.90 |
0.83 |
0.04 |
0.98 |
0.94 |
|
2018 |
0.90 |
0.90 |
0.83 |
0.04 |
0.98 |
0.94 |
|
2019 |
0.90 |
0.90 |
0.82 |
0.04 |
0.98 |
0.93 |
Overestimated \({M/k}^{LIT}\)
lb_tableSH(freq, 2, "cm", linf=75.0, lmat=54.2, mk_ratio=1.25*1.5,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
2014 |
0.90 |
0.94 |
0.82 |
0.78 |
1.16 |
0.98 |
|
2015 |
0.90 |
0.90 |
0.83 |
0.72 |
1.17 |
0.99 |
|
2016 |
0.94 |
0.94 |
0.87 |
0.84 |
1.19 |
0.98 |
|
2017 |
0.90 |
0.90 |
0.83 |
0.66 |
1.15 |
0.98 |
|
2018 |
0.90 |
0.90 |
0.83 |
0.67 |
1.16 |
0.98 |
|
2019 |
0.90 |
0.90 |
0.82 |
0.70 |
1.15 |
0.98 |
Underestimated \(L_{inf}^{LIT}\).
lb_tableSH(freq, 2, "cm", linf=0.75*75.0, lmat=54.2, mk_ratio=1.5,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
2014 |
0.90 |
0.94 |
1.09 |
0.97 |
1.43 |
1.05 |
|
2015 |
0.90 |
0.90 |
1.11 |
0.93 |
1.44 |
1.06 |
|
2016 |
0.94 |
0.94 |
1.16 |
0.99 |
1.47 |
1.05 |
|
2017 |
0.90 |
0.90 |
1.10 |
0.96 |
1.42 |
1.05 |
|
2018 |
0.90 |
0.90 |
1.10 |
0.96 |
1.42 |
1.05 |
|
2019 |
0.90 |
0.90 |
1.09 |
0.99 |
1.42 |
1.05 |
Overestimated \(L_{inf}^{LIT}\).
lb_tableSH(freq, 2, "cm", linf=1.25*75.0, lmat=54.2, mk_ratio=1.5,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
2014 |
0.90 |
0.94 |
0.65 |
0.00 |
0.86 |
0.89 |
|
2015 |
0.90 |
0.90 |
0.66 |
0.00 |
0.86 |
0.89 |
|
2016 |
0.94 |
0.94 |
0.70 |
0.01 |
0.88 |
0.89 |
|
2017 |
0.90 |
0.90 |
0.66 |
0.00 |
0.85 |
0.89 |
|
2018 |
0.90 |
0.90 |
0.66 |
0.00 |
0.85 |
0.89 |
|
2019 |
0.90 |
0.90 |
0.65 |
0.00 |
0.85 |
0.88 |
4 Engraulis encrasicolus
Life history parameters:
\(L_{mat}\) = 11.2 cm \(L_{inf}^{LIT}\) = 18.95 cm. \({M/k}^{LIT}\) = 1.44.
Below, catch/landings at length per year and mean weights-at-length per year are loaded.
MK<-1.44
Linf<-18.95
Lmat<-11.2
wal <- read.csv("wal_anchovy_fv.csv", stringsAsFactors = FALSE)
freq <- read.csv("lengthfreq_anchovy_fv.csv", stringsAsFactors = FALSE)
head(freq)## length X1988 X1989 X1990 X1991 X1992 X1993 X1994 X1995 X1996
## 1 3.75 0 0 0 0 0 0 0 0 1349286
## 2 4.25 0 0 4281037 171956 1527 48637 0 0 12676995
## 3 4.75 0 0 18371017 3937228 29018 706893 0 0 67819283
## 4 5.25 64688 0 32251146 54991246 90023 1831793 0 0 160893713
## 5 5.75 86251 0 46583672 80536890 368660 3246934 0 0 129791150
## 6 6.25 0 0 45810220 43303347 983188 5030957 0 0 52811605
## X1997 X1998 X1999 X2000 X2001 X2002 X2003 X2004 X2005
## 1 0 0 0 0 282386.1 76904 0 0 0
## 2 0 0 1830574 113762 211277.3 274755 35584 0 16257
## 3 1333027 4655928 17055364 806404 1747585.3 1463072 116275 25370 130064
## 4 11492104 25824726 41100084 4886709 5808681.0 3870681 218084 53803 146322
## 5 38721933 57085884 36181025 9251152 9844138.0 8742129 653305 213296 81290
## 6 53185343 82441650 19366091 12753186 12499866.5 13778906 1763017 395900 445378
## X2006 X2007 X2008 X2009 X2010 X2011 X2012 X2013 X2014 X2015 X2016 X2017
## 1 0 0 0 0 0 0 0 0 0 0 0 0
## 2 0 0 0 0 0 0 0 0 0 0 0 0
## 3 0 0 0 0 0 0 0 0 0 0 0 0
## 4 0 0 0 0 0 0 0 0 0 0 0 45462
## 5 0 0 0 0 0 0 0 0 0 0 9084 34097
## 6 372540 0 0 0 0 0 394206 0 0 80458 54503 217184
## X2018 X2019
## 1 0 0
## 2 0 0
## 3 0 5047
## 4 5252 5047
## 5 122414 0
## 6 170751 19929head(wal)## length X1988 X1989 X1990 X1991 X1992 X1993 X1994
## 1 3.75 0.2518403 0.2092267 0.2271301 0.2180922 0.3299293 0.3550483 0.2759662
## 2 4.25 0.3770388 0.3210175 0.3446703 0.3339648 0.4823867 0.5143807 0.4116180
## 3 4.75 0.5396730 0.4696109 0.4993023 0.4877011 0.6760814 0.7150791 0.5872153
## 4 5.25 0.7452009 0.6612985 0.6969456 0.6856975 0.9160444 0.9618145 0.8084307
## 5 5.75 0.9992115 0.9026572 0.9437311 0.9346291 1.2073248 1.2592391 1.0810548
## 6 6.25 1.3074143 1.2005329 1.2459871 1.2414337 1.5549890 1.6119883 1.4109861
## X1995 X1996 X1997 X1998 X1999 X2000 X2001
## 1 0.2759662 0.2660571 0.2890663 0.2109831 0.2001816 0.2449791 0.2620221
## 2 0.4116180 0.3960943 0.4288719 0.3227909 0.3081657 0.3695502 0.3950267
## 3 0.5872153 0.5641280 0.6089467 0.4710105 0.4521485 0.5325203 0.5689337
## 4 0.8084307 0.7754821 0.8347932 0.6617593 0.6384087 0.7397834 0.7899969
## 5 1.0810548 1.0355821 1.1120032 0.9014165 0.8735282 0.9974136 1.0646578
## 6 1.4109861 1.3499475 1.4462498 1.1966083 1.1643759 1.3116520 1.3995322
## X2002 X2003 X2004 X2005 X2006 X2007 X2008
## 1 0.2161115 0.2690808 0.2644649 0.2566905 0.2460155 0.2929484 0.3418905
## 2 0.3314068 0.4029565 0.3953278 0.3863321 0.3687180 0.4345656 0.5011364
## 3 0.4845831 0.5769057 0.5650740 0.5555725 0.5282721 0.6169477 0.7039346
## 4 0.6820956 0.7967816 0.7793116 0.7703975 0.7300911 0.8456590 0.9557075
## 5 0.9306895 1.0685792 1.0437756 1.0369636 0.9797234 1.1263528 1.2619092
## 6 1.2373830 1.3984243 1.3643180 1.3615860 1.2828419 1.4647644 1.6280227
## X2009 X2010 X2011 X2012 X2013 X2014 X2015
## 1 0.2619156 0.3055713 0.2545966 0.2606879 0.2619059 0.2192163 0.2412433
## 2 0.3944381 0.4508095 0.3813615 0.3935505 0.3925561 0.3362669 0.3636509
## 3 0.5675389 0.6368953 0.5461100 0.5674935 0.5624538 0.4918181 0.5236817
## 4 0.7873773 0.8691786 0.7543998 0.7888552 0.7773667 0.6924424 0.7270830
## 5 1.0602915 1.1530702 1.0119242 1.0641714 1.0432063 0.9450092 0.9797736
## 6 1.3927860 1.4940365 1.3245022 1.4001616 1.3660173 1.2566676 1.2878320
## X2016 X2017 X2018 X2019
## 1 0.2428885 0.3741121 0.3225905 0.3050406
## 2 0.3695925 0.5416183 0.4751011 0.4500820
## 3 0.5367072 0.7524734 0.6701900 0.6359370
## 4 0.7507957 1.0115421 0.9133608 0.8679562
## 5 1.0186707 1.3236670 1.2101712 1.1515516
## 6 1.3473791 1.6936699 1.5662289 1.4921912bin_plot(freq, 1, "cm")
bin_plot(freq, 2, "cm")
On based on the previous plots of the length distribution BinWidth is fixed equal to 2.
Reference model:
lb_tableSH(freq, 2, "cm", linf=Linf, lmat=Lmat, mk_ratio=MK ,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1988 |
0.98 |
0.98 |
0.81 |
0.05 |
0.93 |
0.92 |
|
1989 |
0.98 |
0.98 |
0.86 |
0.06 |
0.93 |
0.91 |
|
1990 |
0.80 |
0.62 |
0.71 |
0.01 |
0.84 |
0.93 |
|
1991 |
0.45 |
0.62 |
0.78 |
0.04 |
0.76 |
1.14 |
|
1992 |
0.80 |
0.80 |
0.74 |
0.02 |
0.88 |
0.97 |
|
1993 |
1.16 |
0.80 |
0.79 |
0.05 |
1.03 |
0.91 |
|
1994 |
0.80 |
0.80 |
0.80 |
0.05 |
0.88 |
0.97 |
|
1995 |
0.98 |
0.98 |
0.74 |
0.02 |
0.91 |
0.89 |
|
1996 |
0.45 |
0.45 |
0.71 |
0.01 |
0.53 |
0.79 |
|
1997 |
0.62 |
0.62 |
0.80 |
0.07 |
0.79 |
1.00 |
|
1998 |
0.98 |
0.80 |
0.72 |
0.01 |
0.91 |
0.90 |
|
1999 |
0.98 |
0.62 |
0.80 |
0.07 |
0.98 |
0.96 |
|
2000 |
0.62 |
0.80 |
0.78 |
0.05 |
0.80 |
1.02 |
|
2001 |
0.98 |
0.98 |
0.85 |
0.15 |
1.00 |
0.98 |
|
2002 |
0.98 |
0.80 |
0.81 |
0.11 |
0.97 |
0.95 |
|
2003 |
0.98 |
0.98 |
0.80 |
0.09 |
0.95 |
0.94 |
|
2004 |
0.98 |
0.98 |
0.78 |
0.04 |
0.94 |
0.92 |
|
2005 |
0.80 |
0.80 |
0.74 |
0.03 |
0.86 |
0.95 |
|
2006 |
0.80 |
0.80 |
0.74 |
0.03 |
0.87 |
0.96 |
|
2007 |
0.80 |
0.80 |
0.73 |
0.02 |
0.86 |
0.95 |
|
2008 |
0.98 |
0.98 |
0.83 |
0.20 |
1.01 |
0.99 |
|
2009 |
0.98 |
0.98 |
0.80 |
0.15 |
0.98 |
0.96 |
|
2010 |
0.98 |
0.98 |
0.79 |
0.07 |
0.94 |
0.92 |
|
2011 |
0.98 |
0.98 |
0.79 |
0.05 |
0.93 |
0.91 |
|
2012 |
0.98 |
0.98 |
0.80 |
0.14 |
1.00 |
0.98 |
|
2013 |
0.98 |
0.98 |
0.80 |
0.07 |
0.95 |
0.93 |
|
2014 |
0.98 |
0.98 |
0.76 |
0.04 |
0.92 |
0.91 |
|
2015 |
0.98 |
0.98 |
0.81 |
0.08 |
0.93 |
0.92 |
|
2016 |
0.98 |
0.98 |
0.80 |
0.09 |
0.95 |
0.94 |
|
2017 |
0.98 |
0.98 |
0.74 |
0.02 |
0.89 |
0.88 |
|
2018 |
0.98 |
0.98 |
0.80 |
0.08 |
0.96 |
0.95 |
|
2019 |
0.98 |
0.98 |
0.79 |
0.05 |
0.95 |
0.93 |
Underestimated \({M/k}^{LIT}\).
lb_tableSH(freq, 2, "cm", linf=Linf, lmat=Lmat, mk_ratio=MK*0.75,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1988 |
0.98 |
0.98 |
0.81 |
0.01 |
0.86 |
0.88 |
|
1989 |
0.98 |
0.98 |
0.86 |
0.03 |
0.86 |
0.88 |
|
1990 |
0.80 |
0.62 |
0.71 |
0.00 |
0.77 |
0.89 |
|
1991 |
0.45 |
0.62 |
0.78 |
0.01 |
0.70 |
1.04 |
|
1992 |
0.80 |
0.80 |
0.74 |
0.00 |
0.81 |
0.92 |
|
1993 |
1.16 |
0.80 |
0.79 |
0.00 |
0.95 |
0.89 |
|
1994 |
0.80 |
0.80 |
0.80 |
0.00 |
0.81 |
0.93 |
|
1995 |
0.98 |
0.98 |
0.74 |
0.00 |
0.83 |
0.86 |
|
1996 |
0.45 |
0.45 |
0.71 |
0.00 |
0.49 |
0.72 |
|
1997 |
0.62 |
0.62 |
0.80 |
0.00 |
0.72 |
0.94 |
|
1998 |
0.98 |
0.80 |
0.72 |
0.00 |
0.84 |
0.86 |
|
1999 |
0.98 |
0.62 |
0.80 |
0.00 |
0.90 |
0.93 |
|
2000 |
0.62 |
0.80 |
0.78 |
0.00 |
0.74 |
0.95 |
|
2001 |
0.98 |
0.98 |
0.85 |
0.03 |
0.92 |
0.94 |
|
2002 |
0.98 |
0.80 |
0.81 |
0.01 |
0.89 |
0.92 |
|
2003 |
0.98 |
0.98 |
0.80 |
0.01 |
0.88 |
0.90 |
|
2004 |
0.98 |
0.98 |
0.78 |
0.00 |
0.86 |
0.89 |
|
2005 |
0.80 |
0.80 |
0.74 |
0.00 |
0.79 |
0.90 |
|
2006 |
0.80 |
0.80 |
0.74 |
0.00 |
0.80 |
0.91 |
|
2007 |
0.80 |
0.80 |
0.73 |
0.00 |
0.79 |
0.90 |
|
2008 |
0.98 |
0.98 |
0.83 |
0.02 |
0.93 |
0.96 |
|
2009 |
0.98 |
0.98 |
0.80 |
0.00 |
0.90 |
0.93 |
|
2010 |
0.98 |
0.98 |
0.79 |
0.00 |
0.86 |
0.89 |
|
2011 |
0.98 |
0.98 |
0.79 |
0.00 |
0.85 |
0.88 |
|
2012 |
0.98 |
0.98 |
0.80 |
0.01 |
0.92 |
0.95 |
|
2013 |
0.98 |
0.98 |
0.80 |
0.00 |
0.87 |
0.90 |
|
2014 |
0.98 |
0.98 |
0.76 |
0.00 |
0.85 |
0.88 |
|
2015 |
0.98 |
0.98 |
0.81 |
0.01 |
0.86 |
0.88 |
|
2016 |
0.98 |
0.98 |
0.80 |
0.01 |
0.88 |
0.90 |
|
2017 |
0.98 |
0.98 |
0.74 |
0.00 |
0.82 |
0.85 |
|
2018 |
0.98 |
0.98 |
0.80 |
0.00 |
0.89 |
0.91 |
|
2019 |
0.98 |
0.98 |
0.79 |
0.00 |
0.87 |
0.90 |
Overestimated \({M/k}^{LIT}\).
lb_tableSH(freq, 2, "cm", linf=Linf, lmat=Lmat, mk_ratio=MK*1.25,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1988 |
0.98 |
0.98 |
0.81 |
0.05 |
1.01 |
0.94 |
|
1989 |
0.98 |
0.98 |
0.86 |
0.06 |
1.01 |
0.94 |
|
1990 |
0.80 |
0.62 |
0.71 |
0.01 |
0.91 |
0.97 |
|
1991 |
0.45 |
0.62 |
0.78 |
0.04 |
0.83 |
1.22 |
|
1992 |
0.80 |
0.80 |
0.74 |
0.02 |
0.95 |
1.01 |
|
1993 |
1.16 |
0.80 |
0.79 |
0.05 |
1.11 |
0.92 |
|
1994 |
0.80 |
0.80 |
0.80 |
0.05 |
0.95 |
1.01 |
|
1995 |
0.98 |
0.98 |
0.74 |
0.02 |
0.98 |
0.91 |
|
1996 |
0.45 |
0.45 |
0.71 |
0.01 |
0.57 |
0.84 |
|
1997 |
0.62 |
0.62 |
0.80 |
0.07 |
0.85 |
1.05 |
|
1998 |
0.98 |
0.80 |
0.72 |
0.01 |
0.99 |
0.92 |
|
1999 |
0.98 |
0.62 |
0.80 |
0.07 |
1.06 |
0.99 |
|
2000 |
0.62 |
0.80 |
0.78 |
0.05 |
0.87 |
1.07 |
|
2001 |
0.98 |
0.98 |
0.85 |
0.15 |
1.08 |
1.00 |
|
2002 |
0.98 |
0.80 |
0.81 |
0.11 |
1.05 |
0.98 |
|
2003 |
0.98 |
0.98 |
0.80 |
0.09 |
1.03 |
0.96 |
|
2004 |
0.98 |
0.98 |
0.78 |
0.04 |
1.01 |
0.94 |
|
2005 |
0.80 |
0.80 |
0.74 |
0.03 |
0.92 |
0.98 |
|
2006 |
0.80 |
0.80 |
0.74 |
0.03 |
0.94 |
1.00 |
|
2007 |
0.80 |
0.80 |
0.73 |
0.02 |
0.92 |
0.98 |
|
2008 |
0.98 |
0.98 |
0.83 |
0.20 |
1.09 |
1.02 |
|
2009 |
0.98 |
0.98 |
0.80 |
0.15 |
1.06 |
0.98 |
|
2010 |
0.98 |
0.98 |
0.79 |
0.07 |
1.02 |
0.95 |
|
2011 |
0.98 |
0.98 |
0.79 |
0.05 |
1.00 |
0.93 |
|
2012 |
0.98 |
0.98 |
0.80 |
0.14 |
1.08 |
1.00 |
|
2013 |
0.98 |
0.98 |
0.80 |
0.07 |
1.02 |
0.95 |
|
2014 |
0.98 |
0.98 |
0.76 |
0.04 |
1.00 |
0.93 |
|
2015 |
0.98 |
0.98 |
0.81 |
0.08 |
1.01 |
0.94 |
|
2016 |
0.98 |
0.98 |
0.80 |
0.09 |
1.03 |
0.96 |
|
2017 |
0.98 |
0.98 |
0.74 |
0.02 |
0.96 |
0.90 |
|
2018 |
0.98 |
0.98 |
0.80 |
0.08 |
1.04 |
0.97 |
|
2019 |
0.98 |
0.98 |
0.79 |
0.05 |
1.02 |
0.95 |
M/k=1.5.
lb_tableSH(freq, 2, "cm", linf=Linf, lmat=Lmat, mk_ratio=1.5,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1988 |
0.98 |
0.98 |
0.81 |
0.05 |
0.95 |
0.92 |
|
1989 |
0.98 |
0.98 |
0.86 |
0.06 |
0.94 |
0.92 |
|
1990 |
0.80 |
0.62 |
0.71 |
0.01 |
0.85 |
0.94 |
|
1991 |
0.45 |
0.62 |
0.78 |
0.04 |
0.77 |
1.15 |
|
1992 |
0.80 |
0.80 |
0.74 |
0.02 |
0.89 |
0.98 |
|
1993 |
1.16 |
0.80 |
0.79 |
0.05 |
1.04 |
0.91 |
|
1994 |
0.80 |
0.80 |
0.80 |
0.05 |
0.89 |
0.98 |
|
1995 |
0.98 |
0.98 |
0.74 |
0.02 |
0.92 |
0.89 |
|
1996 |
0.45 |
0.45 |
0.71 |
0.01 |
0.53 |
0.80 |
|
1997 |
0.62 |
0.62 |
0.80 |
0.07 |
0.80 |
1.01 |
|
1998 |
0.98 |
0.80 |
0.72 |
0.01 |
0.92 |
0.90 |
|
1999 |
0.98 |
0.62 |
0.80 |
0.07 |
1.00 |
0.97 |
|
2000 |
0.62 |
0.80 |
0.78 |
0.05 |
0.81 |
1.03 |
|
2001 |
0.98 |
0.98 |
0.85 |
0.15 |
1.01 |
0.98 |
|
2002 |
0.98 |
0.80 |
0.81 |
0.11 |
0.98 |
0.96 |
|
2003 |
0.98 |
0.98 |
0.80 |
0.09 |
0.97 |
0.94 |
|
2004 |
0.98 |
0.98 |
0.78 |
0.04 |
0.95 |
0.92 |
|
2005 |
0.80 |
0.80 |
0.74 |
0.03 |
0.87 |
0.95 |
|
2006 |
0.80 |
0.80 |
0.74 |
0.03 |
0.88 |
0.97 |
|
2007 |
0.80 |
0.80 |
0.73 |
0.02 |
0.87 |
0.95 |
|
2008 |
0.98 |
0.98 |
0.83 |
0.20 |
1.03 |
1.00 |
|
2009 |
0.98 |
0.98 |
0.80 |
0.15 |
0.99 |
0.97 |
|
2010 |
0.98 |
0.98 |
0.79 |
0.07 |
0.95 |
0.93 |
|
2011 |
0.98 |
0.98 |
0.79 |
0.05 |
0.94 |
0.91 |
|
2012 |
0.98 |
0.98 |
0.80 |
0.14 |
1.01 |
0.98 |
|
2013 |
0.98 |
0.98 |
0.80 |
0.07 |
0.96 |
0.93 |
|
2014 |
0.98 |
0.98 |
0.76 |
0.04 |
0.94 |
0.91 |
|
2015 |
0.98 |
0.98 |
0.81 |
0.08 |
0.95 |
0.92 |
|
2016 |
0.98 |
0.98 |
0.80 |
0.09 |
0.97 |
0.94 |
|
2017 |
0.98 |
0.98 |
0.74 |
0.02 |
0.90 |
0.88 |
|
2018 |
0.98 |
0.98 |
0.80 |
0.08 |
0.98 |
0.95 |
|
2019 |
0.98 |
0.98 |
0.79 |
0.05 |
0.96 |
0.93 |
Underestimated \(L_{inf}^{LIT}\).
lb_tableSH(freq, 2, "cm", linf=Linf*0.75, lmat=Lmat, mk_ratio=MK,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1988 |
0.98 |
0.98 |
1.08 |
0.89 |
1.24 |
1.01 |
|
1989 |
0.98 |
0.98 |
1.15 |
0.78 |
1.24 |
1.01 |
|
1990 |
0.80 |
0.62 |
0.95 |
0.51 |
1.12 |
1.04 |
|
1991 |
0.45 |
0.62 |
1.04 |
0.57 |
1.02 |
1.33 |
|
1992 |
0.80 |
0.80 |
0.98 |
0.73 |
1.17 |
1.09 |
|
1993 |
1.16 |
0.80 |
1.05 |
0.69 |
1.37 |
0.99 |
|
1994 |
0.80 |
0.80 |
1.07 |
0.64 |
1.17 |
1.09 |
|
1995 |
0.98 |
0.98 |
0.98 |
0.81 |
1.21 |
0.98 |
|
1996 |
0.45 |
0.45 |
0.95 |
0.15 |
0.70 |
0.92 |
|
1997 |
0.62 |
0.62 |
1.07 |
0.43 |
1.05 |
1.14 |
|
1998 |
0.98 |
0.80 |
0.95 |
0.57 |
1.22 |
0.99 |
|
1999 |
0.98 |
0.62 |
1.06 |
0.62 |
1.31 |
1.06 |
|
2000 |
0.62 |
0.80 |
1.05 |
0.52 |
1.07 |
1.16 |
|
2001 |
0.98 |
0.98 |
1.13 |
0.77 |
1.33 |
1.08 |
|
2002 |
0.98 |
0.80 |
1.08 |
0.75 |
1.29 |
1.05 |
|
2003 |
0.98 |
0.98 |
1.07 |
0.78 |
1.27 |
1.03 |
|
2004 |
0.98 |
0.98 |
1.04 |
0.87 |
1.25 |
1.01 |
|
2005 |
0.80 |
0.80 |
0.99 |
0.73 |
1.14 |
1.06 |
|
2006 |
0.80 |
0.80 |
0.99 |
0.73 |
1.16 |
1.07 |
|
2007 |
0.80 |
0.80 |
0.98 |
0.68 |
1.14 |
1.06 |
|
2008 |
0.98 |
0.98 |
1.10 |
0.89 |
1.35 |
1.10 |
|
2009 |
0.98 |
0.98 |
1.07 |
0.96 |
1.31 |
1.06 |
|
2010 |
0.98 |
0.98 |
1.06 |
0.93 |
1.25 |
1.02 |
|
2011 |
0.98 |
0.98 |
1.05 |
0.87 |
1.24 |
1.00 |
|
2012 |
0.98 |
0.98 |
1.07 |
0.78 |
1.33 |
1.08 |
|
2013 |
0.98 |
0.98 |
1.06 |
0.80 |
1.26 |
1.03 |
|
2014 |
0.98 |
0.98 |
1.02 |
0.87 |
1.23 |
1.00 |
|
2015 |
0.98 |
0.98 |
1.08 |
0.87 |
1.24 |
1.01 |
|
2016 |
0.98 |
0.98 |
1.07 |
0.93 |
1.27 |
1.03 |
|
2017 |
0.98 |
0.98 |
0.99 |
0.78 |
1.19 |
0.97 |
|
2018 |
0.98 |
0.98 |
1.06 |
0.94 |
1.29 |
1.04 |
|
2019 |
0.98 |
0.98 |
1.05 |
0.84 |
1.26 |
1.02 |
Overestimated \(L_{inf}^{LIT}\).
lb_tableSH(freq, 2, "cm", linf=Linf*1.25, lmat=Lmat, mk_ratio=MK,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1988 |
0.98 |
0.98 |
0.65 |
0 |
0.75 |
0.84 |
|
1989 |
0.98 |
0.98 |
0.69 |
0 |
0.75 |
0.84 |
|
1990 |
0.80 |
0.62 |
0.57 |
0 |
0.67 |
0.84 |
|
1991 |
0.45 |
0.62 |
0.62 |
0 |
0.61 |
1.00 |
|
1992 |
0.80 |
0.80 |
0.59 |
0 |
0.70 |
0.88 |
|
1993 |
1.16 |
0.80 |
0.63 |
0 |
0.82 |
0.84 |
|
1994 |
0.80 |
0.80 |
0.64 |
0 |
0.70 |
0.88 |
|
1995 |
0.98 |
0.98 |
0.59 |
0 |
0.73 |
0.81 |
|
1996 |
0.45 |
0.45 |
0.57 |
0 |
0.42 |
0.69 |
|
1997 |
0.62 |
0.62 |
0.64 |
0 |
0.63 |
0.89 |
|
1998 |
0.98 |
0.80 |
0.57 |
0 |
0.73 |
0.82 |
|
1999 |
0.98 |
0.62 |
0.64 |
0 |
0.79 |
0.88 |
|
2000 |
0.62 |
0.80 |
0.63 |
0 |
0.64 |
0.91 |
|
2001 |
0.98 |
0.98 |
0.68 |
0 |
0.80 |
0.89 |
|
2002 |
0.98 |
0.80 |
0.65 |
0 |
0.78 |
0.87 |
|
2003 |
0.98 |
0.98 |
0.64 |
0 |
0.76 |
0.86 |
|
2004 |
0.98 |
0.98 |
0.63 |
0 |
0.75 |
0.84 |
|
2005 |
0.80 |
0.80 |
0.59 |
0 |
0.68 |
0.86 |
|
2006 |
0.80 |
0.80 |
0.59 |
0 |
0.69 |
0.87 |
|
2007 |
0.80 |
0.80 |
0.59 |
0 |
0.68 |
0.86 |
|
2008 |
0.98 |
0.98 |
0.66 |
0 |
0.81 |
0.91 |
|
2009 |
0.98 |
0.98 |
0.64 |
0 |
0.78 |
0.88 |
|
2010 |
0.98 |
0.98 |
0.64 |
0 |
0.75 |
0.84 |
|
2011 |
0.98 |
0.98 |
0.63 |
0 |
0.74 |
0.83 |
|
2012 |
0.98 |
0.98 |
0.64 |
0 |
0.80 |
0.90 |
|
2013 |
0.98 |
0.98 |
0.64 |
0 |
0.76 |
0.85 |
|
2014 |
0.98 |
0.98 |
0.61 |
0 |
0.74 |
0.83 |
|
2015 |
0.98 |
0.98 |
0.65 |
0 |
0.75 |
0.84 |
|
2016 |
0.98 |
0.98 |
0.64 |
0 |
0.76 |
0.86 |
|
2017 |
0.98 |
0.98 |
0.59 |
0 |
0.71 |
0.80 |
|
2018 |
0.98 |
0.98 |
0.64 |
0 |
0.77 |
0.87 |
|
2019 |
0.98 |
0.98 |
0.63 |
0 |
0.76 |
0.85 |
5 Pollachius pollachius
Life history parameters:
\(L_{mat}\) = 42.3 cm. \(L_{inf}^{LIT}\) = 98.2 cm. \({M/k}^{LIT}\) = 1.648352.
Below, catch/landings at length per year and mean weights-at-length per year are loaded.
freq <- read.csv("Pol89afreq.csv", stringsAsFactors = FALSE)
head(freq)## MeanLength X2010 X2011 X2012 X2013 X2014 X2015 X2016 X2017 X2018
## 1 15.5 0 0 0 0 0 0.000 0 1.130 0
## 2 16.5 0 0 0 0 0 0.000 0 0.000 0
## 3 17.5 0 0 0 0 0 0.000 0 2.542 0
## 4 18.5 0 0 0 0 0 0.000 0 3.672 0
## 5 19.5 0 0 0 0 0 4.862 0 6.215 0
## 6 20.5 0 0 0 0 0 4.862 0 12.994 0wal <- read.csv("Pol89awal.csv", stringsAsFactors = FALSE)
head(wal)## MeanLength X2010 X2011 X2012 X2013 X2014 X2015
## 1 15.5 0.04108271 0.04108271 0.04108271 0.04108271 0.04108271 0.04108271
## 2 16.5 0.04957186 0.04957186 0.04957186 0.04957186 0.04957186 0.04957186
## 3 17.5 0.05915753 0.05915753 0.05915753 0.05915753 0.05915753 0.05915753
## 4 18.5 0.06990645 0.06990645 0.06990645 0.06990645 0.06990645 0.06990645
## 5 19.5 0.08188540 0.08188540 0.08188540 0.08188540 0.08188540 0.08188540
## 6 20.5 0.09516118 0.09516118 0.09516118 0.09516118 0.09516118 0.09516118
## X2016 X2017 X2018
## 1 0.04108271 0.04108271 0.04108271
## 2 0.04957186 0.04957186 0.04957186
## 3 0.05915753 0.05915753 0.05915753
## 4 0.06990645 0.06990645 0.06990645
## 5 0.08188540 0.08188540 0.08188540
## 6 0.09516118 0.09516118 0.09516118bin_plot(freq, 4, "cm")
On based on the previous plots of the length distribution BinWidth is fixed equal to 4.
Reference model:
lb_tableSH(freq, 4, "cm", linf=98.2, lmat=42.3, mk_ratio=1.648352,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
2010 |
0.80 |
0.80 |
0.72 |
0.03 |
0.67 |
0.87 |
|
2011 |
1.18 |
1.18 |
0.80 |
0.07 |
0.91 |
0.94 |
|
2012 |
1.18 |
1.18 |
0.80 |
0.11 |
0.95 |
0.98 |
|
2013 |
1.09 |
1.09 |
0.79 |
0.12 |
0.89 |
0.97 |
|
2014 |
0.80 |
0.99 |
0.77 |
0.10 |
0.83 |
1.08 |
|
2015 |
0.71 |
0.80 |
0.74 |
0.04 |
0.70 |
0.96 |
|
2016 |
0.80 |
0.90 |
0.71 |
0.03 |
0.71 |
0.93 |
|
2017 |
0.80 |
0.90 |
0.80 |
0.09 |
0.79 |
1.02 |
|
2018 |
0.80 |
0.99 |
0.82 |
0.11 |
0.86 |
1.12 |
Underestimated \({M/k}^{LIT}\).
lb_tableSH(freq, 4, "cm", linf=98.2, lmat=42.3, mk_ratio=0.75*1.648352,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
2010 |
0.80 |
0.80 |
0.72 |
0.01 |
0.61 |
0.81 |
|
2011 |
1.18 |
1.18 |
0.80 |
0.02 |
0.83 |
0.90 |
|
2012 |
1.18 |
1.18 |
0.80 |
0.03 |
0.86 |
0.94 |
|
2013 |
1.09 |
1.09 |
0.79 |
0.01 |
0.81 |
0.92 |
|
2014 |
0.80 |
0.99 |
0.77 |
0.01 |
0.76 |
1.01 |
|
2015 |
0.71 |
0.80 |
0.74 |
0.01 |
0.64 |
0.89 |
|
2016 |
0.80 |
0.90 |
0.71 |
0.01 |
0.65 |
0.86 |
|
2017 |
0.80 |
0.90 |
0.80 |
0.03 |
0.72 |
0.95 |
|
2018 |
0.80 |
0.99 |
0.82 |
0.05 |
0.79 |
1.04 |
Overestimated \({M/k}^{LIT}\).
lb_tableSH(freq, 4, "cm", linf=98.2, lmat=42.3, mk_ratio=1.25*1.648352,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
2010 |
0.80 |
0.80 |
0.72 |
0.07 |
0.73 |
0.91 |
|
2011 |
1.18 |
1.18 |
0.80 |
0.11 |
0.99 |
0.97 |
|
2012 |
1.18 |
1.18 |
0.80 |
0.22 |
1.03 |
1.01 |
|
2013 |
1.09 |
1.09 |
0.79 |
0.18 |
0.97 |
1.00 |
|
2014 |
0.80 |
0.99 |
0.77 |
0.16 |
0.91 |
1.14 |
|
2015 |
0.71 |
0.80 |
0.74 |
0.07 |
0.76 |
1.02 |
|
2016 |
0.80 |
0.90 |
0.71 |
0.04 |
0.78 |
0.97 |
|
2017 |
0.80 |
0.90 |
0.80 |
0.14 |
0.86 |
1.08 |
|
2018 |
0.80 |
0.99 |
0.82 |
0.19 |
0.94 |
1.17 |
M/k=1.5.
lb_tableSH(freq, 4, "cm", linf=98.2, lmat=42.3, mk_ratio=1.5,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
2010 |
0.80 |
0.80 |
0.72 |
0.02 |
0.65 |
0.85 |
|
2011 |
1.18 |
1.18 |
0.80 |
0.04 |
0.88 |
0.93 |
|
2012 |
1.18 |
1.18 |
0.80 |
0.06 |
0.91 |
0.97 |
|
2013 |
1.09 |
1.09 |
0.79 |
0.08 |
0.86 |
0.95 |
|
2014 |
0.80 |
0.99 |
0.77 |
0.05 |
0.81 |
1.06 |
|
2015 |
0.71 |
0.80 |
0.74 |
0.02 |
0.68 |
0.94 |
|
2016 |
0.80 |
0.90 |
0.71 |
0.02 |
0.69 |
0.90 |
|
2017 |
0.80 |
0.90 |
0.80 |
0.06 |
0.76 |
1.00 |
|
2018 |
0.80 |
0.99 |
0.82 |
0.07 |
0.83 |
1.09 |
Underestimated \(L_{inf}^{LIT}\).
lb_tableSH(freq, 4, "cm", linf=0.75*98.2, lmat=42.3, mk_ratio=1.648352,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
2010 |
0.80 |
0.80 |
0.96 |
0.14 |
0.89 |
0.98 |
|
2011 |
1.18 |
1.18 |
1.06 |
0.66 |
1.21 |
1.04 |
|
2012 |
1.18 |
1.18 |
1.07 |
0.69 |
1.26 |
1.08 |
|
2013 |
1.09 |
1.09 |
1.05 |
0.52 |
1.19 |
1.07 |
|
2014 |
0.80 |
0.99 |
1.02 |
0.58 |
1.11 |
1.22 |
|
2015 |
0.71 |
0.80 |
0.98 |
0.23 |
0.93 |
1.10 |
|
2016 |
0.80 |
0.90 |
0.94 |
0.18 |
0.95 |
1.05 |
|
2017 |
0.80 |
0.90 |
1.07 |
0.33 |
1.05 |
1.16 |
|
2018 |
0.80 |
0.99 |
1.09 |
0.61 |
1.15 |
1.26 |
Overestimated \(L_{inf}^{LIT}\).
lb_tableSH(freq, 4, "cm", linf=1.25*98.2, lmat=42.3, mk_ratio=1.648352,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
2010 |
0.80 |
0.80 |
0.58 |
0.00 |
0.54 |
0.78 |
|
2011 |
1.18 |
1.18 |
0.64 |
0.01 |
0.73 |
0.86 |
|
2012 |
1.18 |
1.18 |
0.64 |
0.00 |
0.76 |
0.89 |
|
2013 |
1.09 |
1.09 |
0.63 |
0.00 |
0.71 |
0.88 |
|
2014 |
0.80 |
0.99 |
0.61 |
0.00 |
0.67 |
0.97 |
|
2015 |
0.71 |
0.80 |
0.59 |
0.00 |
0.56 |
0.86 |
|
2016 |
0.80 |
0.90 |
0.57 |
0.00 |
0.57 |
0.83 |
|
2017 |
0.80 |
0.90 |
0.64 |
0.00 |
0.63 |
0.92 |
|
2018 |
0.80 |
0.99 |
0.65 |
0.00 |
0.69 |
1.00 |
6 Pagellus bogaraveo
Life history parameters:
\(L_{mat}\) = 33 cm. \(L_{inf}^{LIT}\) = 62 cm. \({M/k}^{LIT}\) = 1.42.
Below, catch/landings at length per year and mean weights-at-length per year are loaded.
wal <- read.csv("SBR9_mw.csv", stringsAsFactors = FALSE)
freq <- read.csv("SBR9_numbers.csv", stringsAsFactors = FALSE)
Linf<-62
Lmat<-33
MK<-1.42
head(freq)## MeanLength X1997 X1998 X1999 X2000 X2001 X2002 X2003 X2004 X2005 X2006 X2007
## 1 24.5 422 170 0 0 0 0 0 0 0 0 0
## 2 25.5 1553 718 0 0 0 0 0 0 0 0 0
## 3 26.5 9222 6454 527 48 42 91 52 0 0 0 0
## 4 27.5 33437 25121 2840 717 912 376 599 0 1012 1583 138
## 5 28.5 69291 53905 9521 3875 3214 2266 3516 254 7417 11301 1224
## 6 29.5 81193 66854 13037 11083 11024 8050 10162 2416 15187 27559 9655
## X2008 X2009 X2010 X2011 X2012 X2013 X2014 X2015 X2016 X2017 X2018 X2019
## 1 0 0 0 0 0 0 0 0 0 0 0 0
## 2 0 0 0 0 0 0 0 0 0 0 0 0
## 3 0 0 0 0 0 0 0 0 0 0 0 0
## 4 0 0 0 0 0 0 0 0 0 0 0 0
## 5 160 267 285 742 0 0 0 0 0 0 0 0
## 6 6810 2139 7243 12657 872 0 0 0 160 0 0 0head(wal)## MeanLength X1997 X1998 X1999 X2000 X2001 X2002 X2003 X2004 X2005
## 1 24.5 197.92 197.92 197.92 197.92 197.92 197.92 197.92 197.92 197.92
## 2 25.5 224.41 224.41 224.41 224.41 224.41 224.41 224.41 224.41 224.41
## 3 26.5 253.22 253.22 253.22 253.22 253.22 253.22 253.22 253.22 253.22
## 4 27.5 284.45 284.45 284.45 284.45 284.45 284.45 284.45 284.45 284.45
## 5 28.5 318.21 318.21 318.21 318.21 318.21 318.21 318.21 318.21 318.21
## 6 29.5 354.60 354.60 354.60 354.60 354.60 354.60 354.60 354.60 354.60
## X2006 X2007 X2008 X2009 X2010 X2011 X2012 X2013 X2014 X2015 X2016
## 1 197.92 197.92 197.92 197.92 197.92 197.92 197.92 197.92 197.92 197.92 197.92
## 2 224.41 224.41 224.41 224.41 224.41 224.41 224.41 224.41 224.41 224.41 224.41
## 3 253.22 253.22 253.22 253.22 253.22 253.22 253.22 253.22 253.22 253.22 253.22
## 4 284.45 284.45 284.45 284.45 284.45 284.45 284.45 284.45 284.45 284.45 284.45
## 5 318.21 318.21 318.21 318.21 318.21 318.21 318.21 318.21 318.21 318.21 318.21
## 6 354.60 354.60 354.60 354.60 354.60 354.60 354.60 354.60 354.60 354.60 354.60
## X2017 X2018 X2019
## 1 197.92 197.92 197.92
## 2 224.41 224.41 224.41
## 3 253.22 253.22 253.22
## 4 284.45 284.45 284.45
## 5 318.21 318.21 318.21
## 6 354.60 354.60 354.60bin_plot(freq, 1, "cm")
bin_plot(freq, 2, "cm")
On based on the previous plots of the length distribution BinWidth is fixed equal to 1.
Reference model:
lb_tableSH(freq, 2, "cm", linf=Linf, lmat=Lmat, mk_ratio=MK ,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1997 |
0.88 |
0.94 |
0.82 |
0.11 |
0.86 |
0.97 |
|
1998 |
0.88 |
0.94 |
0.78 |
0.04 |
0.82 |
0.92 |
|
1999 |
0.94 |
1.00 |
0.80 |
0.07 |
0.87 |
0.94 |
|
2000 |
1.00 |
1.00 |
0.80 |
0.06 |
0.90 |
0.93 |
|
2001 |
0.94 |
1.00 |
0.82 |
0.09 |
0.89 |
0.96 |
|
2002 |
0.94 |
1.00 |
0.83 |
0.11 |
0.92 |
0.99 |
|
2003 |
0.94 |
1.00 |
0.83 |
0.13 |
0.93 |
1.00 |
|
2004 |
0.94 |
1.00 |
0.82 |
0.08 |
0.87 |
0.94 |
|
2005 |
0.94 |
1.00 |
0.82 |
0.11 |
0.89 |
0.95 |
|
2006 |
0.94 |
0.94 |
0.81 |
0.07 |
0.87 |
0.93 |
|
2007 |
0.94 |
1.00 |
0.83 |
0.11 |
0.89 |
0.96 |
|
2008 |
0.94 |
1.00 |
0.84 |
0.14 |
0.90 |
0.97 |
|
2009 |
0.94 |
1.00 |
0.85 |
0.16 |
0.91 |
0.98 |
|
2010 |
0.94 |
1.00 |
0.82 |
0.08 |
0.86 |
0.93 |
|
2011 |
0.94 |
0.94 |
0.84 |
0.12 |
0.87 |
0.94 |
|
2012 |
0.94 |
1.00 |
0.84 |
0.11 |
0.87 |
0.93 |
|
2013 |
1.00 |
1.00 |
0.75 |
0.02 |
0.84 |
0.87 |
|
2014 |
1.00 |
1.00 |
0.83 |
0.08 |
0.89 |
0.93 |
|
2015 |
1.00 |
1.06 |
0.85 |
0.15 |
0.94 |
0.97 |
|
2016 |
0.94 |
1.00 |
0.82 |
0.09 |
0.89 |
0.96 |
|
2017 |
1.00 |
1.06 |
0.80 |
0.06 |
0.90 |
0.93 |
|
2018 |
1.00 |
1.06 |
0.81 |
0.07 |
0.90 |
0.93 |
|
2019 |
1.00 |
1.00 |
0.79 |
0.05 |
0.89 |
0.92 |
Underestimated \({M/k}^{LIT}\).
lb_tableSH(freq, 2, "cm", linf=Linf, lmat=Lmat, mk_ratio=MK*0.75,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1997 |
0.88 |
0.94 |
0.82 |
0.03 |
0.79 |
0.92 |
|
1998 |
0.88 |
0.94 |
0.78 |
0.01 |
0.76 |
0.88 |
|
1999 |
0.94 |
1.00 |
0.80 |
0.02 |
0.80 |
0.90 |
|
2000 |
1.00 |
1.00 |
0.80 |
0.02 |
0.82 |
0.89 |
|
2001 |
0.94 |
1.00 |
0.82 |
0.03 |
0.82 |
0.92 |
|
2002 |
0.94 |
1.00 |
0.83 |
0.04 |
0.85 |
0.95 |
|
2003 |
0.94 |
1.00 |
0.83 |
0.04 |
0.85 |
0.95 |
|
2004 |
0.94 |
1.00 |
0.82 |
0.03 |
0.80 |
0.90 |
|
2005 |
0.94 |
1.00 |
0.82 |
0.03 |
0.82 |
0.91 |
|
2006 |
0.94 |
0.94 |
0.81 |
0.02 |
0.80 |
0.89 |
|
2007 |
0.94 |
1.00 |
0.83 |
0.04 |
0.82 |
0.92 |
|
2008 |
0.94 |
1.00 |
0.84 |
0.05 |
0.83 |
0.93 |
|
2009 |
0.94 |
1.00 |
0.85 |
0.06 |
0.84 |
0.94 |
|
2010 |
0.94 |
1.00 |
0.82 |
0.03 |
0.79 |
0.88 |
|
2011 |
0.94 |
0.94 |
0.84 |
0.05 |
0.80 |
0.90 |
|
2012 |
0.94 |
1.00 |
0.84 |
0.05 |
0.80 |
0.89 |
|
2013 |
1.00 |
1.00 |
0.75 |
0.01 |
0.77 |
0.84 |
|
2014 |
1.00 |
1.00 |
0.83 |
0.04 |
0.82 |
0.89 |
|
2015 |
1.00 |
1.06 |
0.85 |
0.07 |
0.86 |
0.93 |
|
2016 |
0.94 |
1.00 |
0.82 |
0.03 |
0.82 |
0.92 |
|
2017 |
1.00 |
1.06 |
0.80 |
0.02 |
0.83 |
0.89 |
|
2018 |
1.00 |
1.06 |
0.81 |
0.02 |
0.83 |
0.90 |
|
2019 |
1.00 |
1.00 |
0.79 |
0.02 |
0.81 |
0.88 |
Overestimated \({M/k}^{LIT}\).
lb_tableSH(freq, 2, "cm", linf=Linf, lmat=Lmat, mk_ratio=MK*1.25,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1997 |
0.88 |
0.94 |
0.82 |
0.19 |
0.93 |
1.00 |
|
1998 |
0.88 |
0.94 |
0.78 |
0.10 |
0.89 |
0.96 |
|
1999 |
0.94 |
1.00 |
0.80 |
0.14 |
0.94 |
0.97 |
|
2000 |
1.00 |
1.00 |
0.80 |
0.14 |
0.97 |
0.96 |
|
2001 |
0.94 |
1.00 |
0.82 |
0.18 |
0.97 |
0.99 |
|
2002 |
0.94 |
1.00 |
0.83 |
0.24 |
0.99 |
1.02 |
|
2003 |
0.94 |
1.00 |
0.83 |
0.30 |
1.00 |
1.03 |
|
2004 |
0.94 |
1.00 |
0.82 |
0.20 |
0.94 |
0.97 |
|
2005 |
0.94 |
1.00 |
0.82 |
0.22 |
0.96 |
0.99 |
|
2006 |
0.94 |
0.94 |
0.81 |
0.16 |
0.94 |
0.97 |
|
2007 |
0.94 |
1.00 |
0.83 |
0.20 |
0.96 |
0.99 |
|
2008 |
0.94 |
1.00 |
0.84 |
0.24 |
0.97 |
1.00 |
|
2009 |
0.94 |
1.00 |
0.85 |
0.25 |
0.98 |
1.01 |
|
2010 |
0.94 |
1.00 |
0.82 |
0.13 |
0.93 |
0.96 |
|
2011 |
0.94 |
0.94 |
0.84 |
0.18 |
0.94 |
0.97 |
|
2012 |
0.94 |
1.00 |
0.84 |
0.17 |
0.94 |
0.96 |
|
2013 |
1.00 |
1.00 |
0.75 |
0.05 |
0.91 |
0.90 |
|
2014 |
1.00 |
1.00 |
0.83 |
0.15 |
0.96 |
0.95 |
|
2015 |
1.00 |
1.06 |
0.85 |
0.28 |
1.01 |
1.00 |
|
2016 |
0.94 |
1.00 |
0.82 |
0.19 |
0.96 |
0.99 |
|
2017 |
1.00 |
1.06 |
0.80 |
0.16 |
0.97 |
0.96 |
|
2018 |
1.00 |
1.06 |
0.81 |
0.18 |
0.97 |
0.96 |
|
2019 |
1.00 |
1.00 |
0.79 |
0.13 |
0.96 |
0.95 |
M/k=1.5.
lb_tableSH(freq, 2, "cm", linf=Linf, lmat=Lmat, mk_ratio=1.5,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1997 |
0.88 |
0.94 |
0.82 |
0.11 |
0.88 |
0.98 |
|
1998 |
0.88 |
0.94 |
0.78 |
0.04 |
0.84 |
0.93 |
|
1999 |
0.94 |
1.00 |
0.80 |
0.07 |
0.89 |
0.95 |
|
2000 |
1.00 |
1.00 |
0.80 |
0.06 |
0.91 |
0.94 |
|
2001 |
0.94 |
1.00 |
0.82 |
0.09 |
0.91 |
0.97 |
|
2002 |
0.94 |
1.00 |
0.83 |
0.11 |
0.94 |
1.00 |
|
2003 |
0.94 |
1.00 |
0.83 |
0.13 |
0.94 |
1.01 |
|
2004 |
0.94 |
1.00 |
0.82 |
0.08 |
0.89 |
0.95 |
|
2005 |
0.94 |
1.00 |
0.82 |
0.11 |
0.90 |
0.96 |
|
2006 |
0.94 |
0.94 |
0.81 |
0.07 |
0.88 |
0.94 |
|
2007 |
0.94 |
1.00 |
0.83 |
0.11 |
0.91 |
0.97 |
|
2008 |
0.94 |
1.00 |
0.84 |
0.14 |
0.92 |
0.98 |
|
2009 |
0.94 |
1.00 |
0.85 |
0.16 |
0.93 |
0.99 |
|
2010 |
0.94 |
1.00 |
0.82 |
0.08 |
0.87 |
0.93 |
|
2011 |
0.94 |
0.94 |
0.84 |
0.12 |
0.89 |
0.95 |
|
2012 |
0.94 |
1.00 |
0.84 |
0.11 |
0.88 |
0.94 |
|
2013 |
1.00 |
1.00 |
0.75 |
0.02 |
0.86 |
0.88 |
|
2014 |
1.00 |
1.00 |
0.83 |
0.08 |
0.91 |
0.93 |
|
2015 |
1.00 |
1.06 |
0.85 |
0.15 |
0.95 |
0.98 |
|
2016 |
0.94 |
1.00 |
0.82 |
0.09 |
0.91 |
0.97 |
|
2017 |
1.00 |
1.06 |
0.80 |
0.06 |
0.91 |
0.94 |
|
2018 |
1.00 |
1.06 |
0.81 |
0.07 |
0.92 |
0.94 |
|
2019 |
1.00 |
1.00 |
0.79 |
0.05 |
0.90 |
0.93 |
Underestimated \(L_{inf}^{LIT}\).
lb_tableSH(freq, 2, "cm", linf=Linf*0.75, lmat=Lmat, mk_ratio=MK,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1997 |
0.88 |
0.94 |
1.09 |
0.52 |
1.15 |
1.08 |
|
1998 |
0.88 |
0.94 |
1.04 |
0.42 |
1.10 |
1.03 |
|
1999 |
0.94 |
1.00 |
1.07 |
0.61 |
1.17 |
1.05 |
|
2000 |
1.00 |
1.00 |
1.07 |
0.72 |
1.19 |
1.03 |
|
2001 |
0.94 |
1.00 |
1.09 |
0.70 |
1.19 |
1.07 |
|
2002 |
0.94 |
1.00 |
1.11 |
0.72 |
1.23 |
1.10 |
|
2003 |
0.94 |
1.00 |
1.11 |
0.69 |
1.24 |
1.11 |
|
2004 |
0.94 |
1.00 |
1.09 |
0.52 |
1.16 |
1.05 |
|
2005 |
0.94 |
1.00 |
1.10 |
0.57 |
1.18 |
1.06 |
|
2006 |
0.94 |
0.94 |
1.08 |
0.54 |
1.16 |
1.04 |
|
2007 |
0.94 |
1.00 |
1.11 |
0.62 |
1.19 |
1.07 |
|
2008 |
0.94 |
1.00 |
1.12 |
0.64 |
1.20 |
1.08 |
|
2009 |
0.94 |
1.00 |
1.13 |
0.69 |
1.21 |
1.09 |
|
2010 |
0.94 |
1.00 |
1.10 |
0.57 |
1.15 |
1.03 |
|
2011 |
0.94 |
0.94 |
1.12 |
0.50 |
1.16 |
1.05 |
|
2012 |
0.94 |
1.00 |
1.12 |
0.51 |
1.15 |
1.04 |
|
2013 |
1.00 |
1.00 |
1.00 |
0.45 |
1.12 |
0.97 |
|
2014 |
1.00 |
1.00 |
1.11 |
0.67 |
1.19 |
1.03 |
|
2015 |
1.00 |
1.06 |
1.13 |
0.79 |
1.25 |
1.08 |
|
2016 |
0.94 |
1.00 |
1.09 |
0.69 |
1.19 |
1.07 |
|
2017 |
1.00 |
1.06 |
1.07 |
0.80 |
1.20 |
1.04 |
|
2018 |
1.00 |
1.06 |
1.08 |
0.78 |
1.20 |
1.04 |
|
2019 |
1.00 |
1.00 |
1.06 |
0.74 |
1.18 |
1.02 |
Overestimated \(L_{inf}^{LIT}\).
lb_tableSH(freq, 2, "cm", linf=Linf*1.25, lmat=Lmat, mk_ratio=MK,wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1997 |
0.88 |
0.94 |
0.65 |
0 |
0.69 |
0.87 |
|
1998 |
0.88 |
0.94 |
0.62 |
0 |
0.66 |
0.83 |
|
1999 |
0.94 |
1.00 |
0.64 |
0 |
0.70 |
0.85 |
|
2000 |
1.00 |
1.00 |
0.64 |
0 |
0.72 |
0.85 |
|
2001 |
0.94 |
1.00 |
0.65 |
0 |
0.71 |
0.87 |
|
2002 |
0.94 |
1.00 |
0.67 |
0 |
0.74 |
0.90 |
|
2003 |
0.94 |
1.00 |
0.67 |
0 |
0.74 |
0.90 |
|
2004 |
0.94 |
1.00 |
0.65 |
0 |
0.70 |
0.85 |
|
2005 |
0.94 |
1.00 |
0.66 |
0 |
0.71 |
0.87 |
|
2006 |
0.94 |
0.94 |
0.65 |
0 |
0.69 |
0.85 |
|
2007 |
0.94 |
1.00 |
0.67 |
0 |
0.71 |
0.87 |
|
2008 |
0.94 |
1.00 |
0.67 |
0 |
0.72 |
0.88 |
|
2009 |
0.94 |
1.00 |
0.68 |
0 |
0.73 |
0.89 |
|
2010 |
0.94 |
1.00 |
0.66 |
0 |
0.69 |
0.84 |
|
2011 |
0.94 |
0.94 |
0.67 |
0 |
0.70 |
0.85 |
|
2012 |
0.94 |
1.00 |
0.67 |
0 |
0.69 |
0.85 |
|
2013 |
1.00 |
1.00 |
0.60 |
0 |
0.67 |
0.80 |
|
2014 |
1.00 |
1.00 |
0.67 |
0 |
0.71 |
0.84 |
|
2015 |
1.00 |
1.06 |
0.68 |
0 |
0.75 |
0.88 |
|
2016 |
0.94 |
1.00 |
0.65 |
0 |
0.71 |
0.87 |
|
2017 |
1.00 |
1.06 |
0.64 |
0 |
0.72 |
0.85 |
|
2018 |
1.00 |
1.06 |
0.65 |
0 |
0.72 |
0.85 |
|
2019 |
1.00 |
1.00 |
0.64 |
0 |
0.71 |
0.84 |
7 Trisopterus luscus
Life history parameters:
\(L_{mat}\) = 19.2 cm. \(L_{inf}^{LIT}\) = 46.7 cm. \({M/k}^{LIT}\) = 1.761846.
Below, catch/landings at length per year and mean weights-at-length per year are loaded.
LHTs <- data.frame(t(c("Trisopterus luscus", 19.2, 1, 46.7, 0.21, 1.27, 9)))
colnames(LHTs) <- c("Sp", "L50", "A50", "Linf", "K", "t0", "Amax")
LHTs$MKvbgf <- 1.761846
LHTs$MKnls <- 3.111105
LHTs$MK <- 1.5
library(readr)
faneca <- read_csv("faneca_ieo.csv")
sizeDat <- na.omit(faneca %>%
select(TLength, Year))
anho <- as.character(unique(sort(faneca$Year)))
sizeDat <- data.frame(sizeDat)
br = seq(min(sizeDat$TLength), max(sizeDat$TLength) + 1, by = 1)
ranges = paste(head(br, -1), br[-1], sep = " - ")
sizeDat <- unstack(sizeDat)
freq <- data.frame(matrix(NA, nrow = length(br)-1, ncol = length(anho)+1))
for (i in 1:length(anho)) {
freq[, 1] <- head(br, -1)
freq[, i + 1] <-
hist(
sizeDat[[i]],
breaks = br - 1,
include.lowest = TRUE,
plot = FALSE
)$counts
colnames(freq) <- c("MeanLength", anho)
}
freq[,1]=seq(10.5,43.5)
br=seq(10.5,43.5)
head(freq)## MeanLength 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
## 1 10.5 0 0 0 0 0 1 0 0 0 0 0 0 0
## 2 11.5 0 0 0 0 0 1 0 0 0 0 0 0 0
## 3 12.5 0 0 1 0 0 0 0 0 0 0 0 0 0
## 4 13.5 0 0 0 2 1 1 0 2 4 2 0 0 1
## 5 14.5 0 2 5 5 2 2 1 2 12 1 1 1 0
## 6 15.5 0 0 8 3 14 2 10 2 18 0 3 1 6
## 2012 2013 2014 2015 2016 2017 2018
## 1 0 0 1 0 0 0 0
## 2 0 0 0 0 0 2 0
## 3 0 0 0 0 0 1 0
## 4 0 0 1 0 0 0 0
## 5 0 2 0 0 0 3 2
## 6 1 3 5 9 3 3 5alfaWL=0.01303439
betaWL=2.969518
wal <- freq
for (i in 2:dim(freq)[2]) {
wal[, i] <- alfaWL * ((br) ^ betaWL)
}
colnames(wal) <- c("MeanLength", anho)
head(wal)## MeanLength 1999 2000 2001 2002 2003 2004 2005
## 1 10.5 14.04529 14.04529 14.04529 14.04529 14.04529 14.04529 14.04529
## 2 11.5 18.40145 18.40145 18.40145 18.40145 18.40145 18.40145 18.40145
## 3 12.5 23.57137 23.57137 23.57137 23.57137 23.57137 23.57137 23.57137
## 4 13.5 29.62356 29.62356 29.62356 29.62356 29.62356 29.62356 29.62356
## 5 14.5 36.62637 36.62637 36.62637 36.62637 36.62637 36.62637 36.62637
## 6 15.5 44.64801 44.64801 44.64801 44.64801 44.64801 44.64801 44.64801
## 2006 2007 2008 2009 2010 2011 2012 2013
## 1 14.04529 14.04529 14.04529 14.04529 14.04529 14.04529 14.04529 14.04529
## 2 18.40145 18.40145 18.40145 18.40145 18.40145 18.40145 18.40145 18.40145
## 3 23.57137 23.57137 23.57137 23.57137 23.57137 23.57137 23.57137 23.57137
## 4 29.62356 29.62356 29.62356 29.62356 29.62356 29.62356 29.62356 29.62356
## 5 36.62637 36.62637 36.62637 36.62637 36.62637 36.62637 36.62637 36.62637
## 6 44.64801 44.64801 44.64801 44.64801 44.64801 44.64801 44.64801 44.64801
## 2014 2015 2016 2017 2018
## 1 14.04529 14.04529 14.04529 14.04529 14.04529
## 2 18.40145 18.40145 18.40145 18.40145 18.40145
## 3 23.57137 23.57137 23.57137 23.57137 23.57137
## 4 29.62356 29.62356 29.62356 29.62356 29.62356
## 5 36.62637 36.62637 36.62637 36.62637 36.62637
## 6 44.64801 44.64801 44.64801 44.64801 44.64801bin_plot(freq, 1, "cm")
On based on the previous plots of the length distribution BinWidth is fixed equal to 1.
Reference model:
lb_tableSH(freq, 1, "cm", 46.7 , 19.2, 1.761846, wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1999 |
1.07 |
1.12 |
0.65 |
0.00 |
0.79 |
0.89 |
|
2000 |
0.96 |
1.02 |
0.60 |
0.00 |
0.74 |
0.88 |
|
2001 |
0.91 |
1.02 |
0.64 |
0.01 |
0.75 |
0.92 |
|
2002 |
0.96 |
1.02 |
0.65 |
0.01 |
0.77 |
0.92 |
|
2003 |
0.96 |
1.07 |
0.65 |
0.01 |
0.78 |
0.92 |
|
2004 |
1.02 |
1.07 |
0.62 |
0.00 |
0.78 |
0.90 |
|
2005 |
0.96 |
1.02 |
0.63 |
0.00 |
0.76 |
0.90 |
|
2006 |
0.96 |
1.02 |
0.63 |
0.00 |
0.75 |
0.89 |
|
2007 |
0.96 |
1.02 |
0.62 |
0.00 |
0.75 |
0.89 |
|
2008 |
1.02 |
1.02 |
0.60 |
0.00 |
0.75 |
0.87 |
|
2009 |
1.02 |
1.07 |
0.63 |
0.00 |
0.78 |
0.89 |
|
2010 |
1.02 |
1.02 |
0.66 |
0.01 |
0.75 |
0.87 |
|
2011 |
0.96 |
1.02 |
0.63 |
0.01 |
0.75 |
0.89 |
|
2012 |
1.02 |
1.07 |
0.63 |
0.00 |
0.76 |
0.88 |
|
2013 |
0.96 |
1.02 |
0.58 |
0.00 |
0.73 |
0.87 |
|
2014 |
1.02 |
1.07 |
0.59 |
0.00 |
0.75 |
0.87 |
|
2015 |
1.02 |
1.07 |
0.68 |
0.02 |
0.80 |
0.92 |
|
2016 |
1.02 |
1.07 |
0.63 |
0.01 |
0.76 |
0.88 |
|
2017 |
1.02 |
1.07 |
0.63 |
0.00 |
0.78 |
0.90 |
|
2018 |
1.02 |
1.07 |
0.63 |
0.00 |
0.78 |
0.89 |
Underestimated \({M/k}^{LIT}\).
lb_tableSH(freq, 1,"cm",46.7 , 19.2, 0.75*1.761846, wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1999 |
1.07 |
1.12 |
0.65 |
0 |
0.72 |
0.84 |
|
2000 |
0.96 |
1.02 |
0.60 |
0 |
0.67 |
0.83 |
|
2001 |
0.91 |
1.02 |
0.64 |
0 |
0.68 |
0.86 |
|
2002 |
0.96 |
1.02 |
0.65 |
0 |
0.70 |
0.87 |
|
2003 |
0.96 |
1.07 |
0.65 |
0 |
0.70 |
0.87 |
|
2004 |
1.02 |
1.07 |
0.62 |
0 |
0.70 |
0.85 |
|
2005 |
0.96 |
1.02 |
0.63 |
0 |
0.69 |
0.85 |
|
2006 |
0.96 |
1.02 |
0.63 |
0 |
0.68 |
0.84 |
|
2007 |
0.96 |
1.02 |
0.62 |
0 |
0.68 |
0.84 |
|
2008 |
1.02 |
1.02 |
0.60 |
0 |
0.68 |
0.82 |
|
2009 |
1.02 |
1.07 |
0.63 |
0 |
0.70 |
0.85 |
|
2010 |
1.02 |
1.02 |
0.66 |
0 |
0.68 |
0.82 |
|
2011 |
0.96 |
1.02 |
0.63 |
0 |
0.68 |
0.84 |
|
2012 |
1.02 |
1.07 |
0.63 |
0 |
0.69 |
0.83 |
|
2013 |
0.96 |
1.02 |
0.58 |
0 |
0.66 |
0.82 |
|
2014 |
1.02 |
1.07 |
0.59 |
0 |
0.68 |
0.82 |
|
2015 |
1.02 |
1.07 |
0.68 |
0 |
0.73 |
0.87 |
|
2016 |
1.02 |
1.07 |
0.63 |
0 |
0.69 |
0.83 |
|
2017 |
1.02 |
1.07 |
0.63 |
0 |
0.71 |
0.85 |
|
2018 |
1.02 |
1.07 |
0.63 |
0 |
0.70 |
0.85 |
Overestimated \({M/k}^{LIT}\).
lb_tableSH(freq, 1,"cm",46.7 , 19.2, 1.25*1.761846, wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1999 |
1.07 |
1.12 |
0.65 |
0.03 |
0.87 |
0.92 |
|
2000 |
0.96 |
1.02 |
0.60 |
0.01 |
0.81 |
0.92 |
|
2001 |
0.91 |
1.02 |
0.64 |
0.02 |
0.82 |
0.96 |
|
2002 |
0.96 |
1.02 |
0.65 |
0.02 |
0.84 |
0.96 |
|
2003 |
0.96 |
1.07 |
0.65 |
0.02 |
0.85 |
0.96 |
|
2004 |
1.02 |
1.07 |
0.62 |
0.01 |
0.85 |
0.93 |
|
2005 |
0.96 |
1.02 |
0.63 |
0.01 |
0.83 |
0.94 |
|
2006 |
0.96 |
1.02 |
0.63 |
0.02 |
0.82 |
0.93 |
|
2007 |
0.96 |
1.02 |
0.62 |
0.01 |
0.82 |
0.93 |
|
2008 |
1.02 |
1.02 |
0.60 |
0.01 |
0.82 |
0.90 |
|
2009 |
1.02 |
1.07 |
0.63 |
0.01 |
0.85 |
0.93 |
|
2010 |
1.02 |
1.02 |
0.66 |
0.03 |
0.82 |
0.90 |
|
2011 |
0.96 |
1.02 |
0.63 |
0.01 |
0.82 |
0.93 |
|
2012 |
1.02 |
1.07 |
0.63 |
0.01 |
0.84 |
0.92 |
|
2013 |
0.96 |
1.02 |
0.58 |
0.00 |
0.80 |
0.90 |
|
2014 |
1.02 |
1.07 |
0.59 |
0.01 |
0.82 |
0.90 |
|
2015 |
1.02 |
1.07 |
0.68 |
0.04 |
0.87 |
0.96 |
|
2016 |
1.02 |
1.07 |
0.63 |
0.01 |
0.83 |
0.91 |
|
2017 |
1.02 |
1.07 |
0.63 |
0.02 |
0.85 |
0.94 |
|
2018 |
1.02 |
1.07 |
0.63 |
0.02 |
0.85 |
0.93 |
M/k=1.5.
lb_tableSH(freq, 1,"cm",46.7 , 19.2, 1.5, wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1999 |
1.07 |
1.12 |
0.65 |
0 |
0.75 |
0.86 |
|
2000 |
0.96 |
1.02 |
0.60 |
0 |
0.70 |
0.85 |
|
2001 |
0.91 |
1.02 |
0.64 |
0 |
0.71 |
0.89 |
|
2002 |
0.96 |
1.02 |
0.65 |
0 |
0.73 |
0.89 |
|
2003 |
0.96 |
1.07 |
0.65 |
0 |
0.73 |
0.89 |
|
2004 |
1.02 |
1.07 |
0.62 |
0 |
0.73 |
0.87 |
|
2005 |
0.96 |
1.02 |
0.63 |
0 |
0.72 |
0.87 |
|
2006 |
0.96 |
1.02 |
0.63 |
0 |
0.71 |
0.86 |
|
2007 |
0.96 |
1.02 |
0.62 |
0 |
0.71 |
0.86 |
|
2008 |
1.02 |
1.02 |
0.60 |
0 |
0.71 |
0.84 |
|
2009 |
1.02 |
1.07 |
0.63 |
0 |
0.73 |
0.87 |
|
2010 |
1.02 |
1.02 |
0.66 |
0 |
0.71 |
0.84 |
|
2011 |
0.96 |
1.02 |
0.63 |
0 |
0.71 |
0.86 |
|
2012 |
1.02 |
1.07 |
0.63 |
0 |
0.72 |
0.86 |
|
2013 |
0.96 |
1.02 |
0.58 |
0 |
0.69 |
0.84 |
|
2014 |
1.02 |
1.07 |
0.59 |
0 |
0.71 |
0.84 |
|
2015 |
1.02 |
1.07 |
0.68 |
0 |
0.76 |
0.90 |
|
2016 |
1.02 |
1.07 |
0.63 |
0 |
0.72 |
0.85 |
|
2017 |
1.02 |
1.07 |
0.63 |
0 |
0.74 |
0.87 |
|
2018 |
1.02 |
1.07 |
0.63 |
0 |
0.73 |
0.87 |
Underestimated \(L_{inf}^{LIT}\).
lb_tableSH(freq, 1,"cm",0.75*46.7 , 19.2, 1.761846, wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1999 |
1.07 |
1.12 |
0.87 |
0.27 |
1.06 |
0.99 |
|
2000 |
0.96 |
1.02 |
0.80 |
0.14 |
0.99 |
0.98 |
|
2001 |
0.91 |
1.02 |
0.86 |
0.23 |
1.00 |
1.03 |
|
2002 |
0.96 |
1.02 |
0.86 |
0.27 |
1.03 |
1.03 |
|
2003 |
0.96 |
1.07 |
0.87 |
0.29 |
1.04 |
1.03 |
|
2004 |
1.02 |
1.07 |
0.82 |
0.28 |
1.04 |
1.00 |
|
2005 |
0.96 |
1.02 |
0.84 |
0.22 |
1.01 |
1.01 |
|
2006 |
0.96 |
1.02 |
0.84 |
0.19 |
1.00 |
0.99 |
|
2007 |
0.96 |
1.02 |
0.82 |
0.18 |
1.00 |
0.99 |
|
2008 |
1.02 |
1.02 |
0.80 |
0.16 |
1.00 |
0.96 |
|
2009 |
1.02 |
1.07 |
0.84 |
0.25 |
1.03 |
0.99 |
|
2010 |
1.02 |
1.02 |
0.88 |
0.15 |
1.00 |
0.97 |
|
2011 |
0.96 |
1.02 |
0.84 |
0.15 |
1.00 |
0.99 |
|
2012 |
1.02 |
1.07 |
0.84 |
0.21 |
1.02 |
0.98 |
|
2013 |
0.96 |
1.02 |
0.77 |
0.13 |
0.97 |
0.97 |
|
2014 |
1.02 |
1.07 |
0.79 |
0.15 |
1.00 |
0.97 |
|
2015 |
1.02 |
1.07 |
0.90 |
0.37 |
1.07 |
1.03 |
|
2016 |
1.02 |
1.07 |
0.84 |
0.20 |
1.02 |
0.98 |
|
2017 |
1.02 |
1.07 |
0.85 |
0.27 |
1.04 |
1.00 |
|
2018 |
1.02 |
1.07 |
0.84 |
0.24 |
1.03 |
1.00 |
Overestimated \(L_{inf}^{LIT}\).
lb_tableSH(freq, 1,"cm",1.25*46.7 , 19.2, 1.761846, wal)|
|
Conservation |
Optimizing Yield |
MSY |
|||
|
Year |
Lc / Lmat |
L25% / Lmat |
Lmax 5 / Linf |
Pmega |
Lmean / Lopt |
Lmean / LF = M |
|
1999 |
1.07 |
1.12 |
0.52 |
0 |
0.64 |
0.81 |
|
2000 |
0.96 |
1.02 |
0.48 |
0 |
0.59 |
0.80 |
|
2001 |
0.91 |
1.02 |
0.52 |
0 |
0.60 |
0.83 |
|
2002 |
0.96 |
1.02 |
0.52 |
0 |
0.62 |
0.83 |
|
2003 |
0.96 |
1.07 |
0.52 |
0 |
0.62 |
0.84 |
|
2004 |
1.02 |
1.07 |
0.49 |
0 |
0.62 |
0.81 |
|
2005 |
0.96 |
1.02 |
0.50 |
0 |
0.61 |
0.82 |
|
2006 |
0.96 |
1.02 |
0.50 |
0 |
0.60 |
0.81 |
|
2007 |
0.96 |
1.02 |
0.49 |
0 |
0.60 |
0.81 |
|
2008 |
1.02 |
1.02 |
0.48 |
0 |
0.60 |
0.79 |
|
2009 |
1.02 |
1.07 |
0.50 |
0 |
0.62 |
0.81 |
|
2010 |
1.02 |
1.02 |
0.53 |
0 |
0.60 |
0.79 |
|
2011 |
0.96 |
1.02 |
0.51 |
0 |
0.60 |
0.80 |
|
2012 |
1.02 |
1.07 |
0.50 |
0 |
0.61 |
0.80 |
|
2013 |
0.96 |
1.02 |
0.46 |
0 |
0.58 |
0.79 |
|
2014 |
1.02 |
1.07 |
0.47 |
0 |
0.60 |
0.79 |
|
2015 |
1.02 |
1.07 |
0.54 |
0 |
0.64 |
0.84 |
|
2016 |
1.02 |
1.07 |
0.51 |
0 |
0.61 |
0.80 |
|
2017 |
1.02 |
1.07 |
0.51 |
0 |
0.63 |
0.82 |
|
2018 |
1.02 |
1.07 |
0.51 |
0 |
0.62 |
0.81 |